Commit
·
3735434
1
Parent(s):
ed3cd85
Training in progress, epoch 1
Browse files- all_results.json +58 -0
- eval_results.json +53 -0
- pytorch_model.bin +1 -1
- runs/Mar02_00-52-19_home-3090/events.out.tfevents.1677698625.home-3090.10497.2 +3 -0
- runs/Mar03_01-20-39_home-3090/1677784859.1870086/events.out.tfevents.1677784859.home-3090.52004.1 +3 -0
- runs/Mar03_01-20-39_home-3090/events.out.tfevents.1677784859.home-3090.52004.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +1795 -0
- training_args.bin +1 -1
all_results.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_5_err_f1": 0.9850746268656716,
|
| 4 |
+
"eval_5_err_number": 34,
|
| 5 |
+
"eval_5_err_precision": 1.0,
|
| 6 |
+
"eval_5_err_recall": 0.9705882352941176,
|
| 7 |
+
"eval___f1": 0.9912903388209234,
|
| 8 |
+
"eval___number": 9934,
|
| 9 |
+
"eval___precision": 0.9915399335280491,
|
| 10 |
+
"eval___recall": 0.9910408697402859,
|
| 11 |
+
"eval__err_f1": 0.9808695652173912,
|
| 12 |
+
"eval__err_number": 285,
|
| 13 |
+
"eval__err_precision": 0.9724137931034482,
|
| 14 |
+
"eval__err_recall": 0.9894736842105263,
|
| 15 |
+
"eval_egin_err_f1": 0.9933598937583,
|
| 16 |
+
"eval_egin_err_number": 1126,
|
| 17 |
+
"eval_egin_err_precision": 0.9902912621359223,
|
| 18 |
+
"eval_egin_err_recall": 0.9964476021314387,
|
| 19 |
+
"eval_el_err_f1": 0.9956584659913169,
|
| 20 |
+
"eval_el_err_number": 1380,
|
| 21 |
+
"eval_el_err_precision": 0.9942196531791907,
|
| 22 |
+
"eval_el_err_recall": 0.9971014492753624,
|
| 23 |
+
"eval_loss": 0.0013192046899348497,
|
| 24 |
+
"eval_macro_avg_f1": 0.9912800394235617,
|
| 25 |
+
"eval_macro_avg_number": 23096,
|
| 26 |
+
"eval_macro_avg_precision": 0.991795835558829,
|
| 27 |
+
"eval_macro_avg_recall": 0.990841420701172,
|
| 28 |
+
"eval_micro_avg_f1": 0.993373754872239,
|
| 29 |
+
"eval_micro_avg_number": 23096,
|
| 30 |
+
"eval_micro_avg_precision": 0.9936319528677872,
|
| 31 |
+
"eval_micro_avg_recall": 0.9931156910287495,
|
| 32 |
+
"eval_nd_err_f1": 0.9919932574799832,
|
| 33 |
+
"eval_nd_err_number": 1188,
|
| 34 |
+
"eval_nd_err_precision": 0.9932489451476794,
|
| 35 |
+
"eval_nd_err_recall": 0.9907407407407407,
|
| 36 |
+
"eval_ne_word_err_f1": 0.9958722835983974,
|
| 37 |
+
"eval_ne_word_err_number": 8247,
|
| 38 |
+
"eval_ne_word_err_precision": 0.9970827762246263,
|
| 39 |
+
"eval_ne_word_err_recall": 0.9946647265672366,
|
| 40 |
+
"eval_overall_accuracy": 0.9993957202777317,
|
| 41 |
+
"eval_runtime": 11.3466,
|
| 42 |
+
"eval_samples": 18388,
|
| 43 |
+
"eval_samples_per_second": 1620.567,
|
| 44 |
+
"eval_steps_per_second": 101.352,
|
| 45 |
+
"eval_unc_insert_err_f1": 0.9961218836565098,
|
| 46 |
+
"eval_unc_insert_err_number": 902,
|
| 47 |
+
"eval_unc_insert_err_precision": 0.9955703211517165,
|
| 48 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 49 |
+
"eval_weighted_avg_f1": 0.993375440096453,
|
| 50 |
+
"eval_weighted_avg_number": 23096,
|
| 51 |
+
"eval_weighted_avg_precision": 0.9936401344515604,
|
| 52 |
+
"eval_weighted_avg_recall": 0.9931156910287495,
|
| 53 |
+
"train_loss": 0.06519987745561462,
|
| 54 |
+
"train_runtime": 1743.5904,
|
| 55 |
+
"train_samples": 18388,
|
| 56 |
+
"train_samples_per_second": 316.382,
|
| 57 |
+
"train_steps_per_second": 9.893
|
| 58 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_5_err_f1": 0.9850746268656716,
|
| 4 |
+
"eval_5_err_number": 34,
|
| 5 |
+
"eval_5_err_precision": 1.0,
|
| 6 |
+
"eval_5_err_recall": 0.9705882352941176,
|
| 7 |
+
"eval___f1": 0.9912903388209234,
|
| 8 |
+
"eval___number": 9934,
|
| 9 |
+
"eval___precision": 0.9915399335280491,
|
| 10 |
+
"eval___recall": 0.9910408697402859,
|
| 11 |
+
"eval__err_f1": 0.9808695652173912,
|
| 12 |
+
"eval__err_number": 285,
|
| 13 |
+
"eval__err_precision": 0.9724137931034482,
|
| 14 |
+
"eval__err_recall": 0.9894736842105263,
|
| 15 |
+
"eval_egin_err_f1": 0.9933598937583,
|
| 16 |
+
"eval_egin_err_number": 1126,
|
| 17 |
+
"eval_egin_err_precision": 0.9902912621359223,
|
| 18 |
+
"eval_egin_err_recall": 0.9964476021314387,
|
| 19 |
+
"eval_el_err_f1": 0.9956584659913169,
|
| 20 |
+
"eval_el_err_number": 1380,
|
| 21 |
+
"eval_el_err_precision": 0.9942196531791907,
|
| 22 |
+
"eval_el_err_recall": 0.9971014492753624,
|
| 23 |
+
"eval_loss": 0.0013192046899348497,
|
| 24 |
+
"eval_macro_avg_f1": 0.9912800394235617,
|
| 25 |
+
"eval_macro_avg_number": 23096,
|
| 26 |
+
"eval_macro_avg_precision": 0.991795835558829,
|
| 27 |
+
"eval_macro_avg_recall": 0.990841420701172,
|
| 28 |
+
"eval_micro_avg_f1": 0.993373754872239,
|
| 29 |
+
"eval_micro_avg_number": 23096,
|
| 30 |
+
"eval_micro_avg_precision": 0.9936319528677872,
|
| 31 |
+
"eval_micro_avg_recall": 0.9931156910287495,
|
| 32 |
+
"eval_nd_err_f1": 0.9919932574799832,
|
| 33 |
+
"eval_nd_err_number": 1188,
|
| 34 |
+
"eval_nd_err_precision": 0.9932489451476794,
|
| 35 |
+
"eval_nd_err_recall": 0.9907407407407407,
|
| 36 |
+
"eval_ne_word_err_f1": 0.9958722835983974,
|
| 37 |
+
"eval_ne_word_err_number": 8247,
|
| 38 |
+
"eval_ne_word_err_precision": 0.9970827762246263,
|
| 39 |
+
"eval_ne_word_err_recall": 0.9946647265672366,
|
| 40 |
+
"eval_overall_accuracy": 0.9993957202777317,
|
| 41 |
+
"eval_runtime": 11.3466,
|
| 42 |
+
"eval_samples": 18388,
|
| 43 |
+
"eval_samples_per_second": 1620.567,
|
| 44 |
+
"eval_steps_per_second": 101.352,
|
| 45 |
+
"eval_unc_insert_err_f1": 0.9961218836565098,
|
| 46 |
+
"eval_unc_insert_err_number": 902,
|
| 47 |
+
"eval_unc_insert_err_precision": 0.9955703211517165,
|
| 48 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 49 |
+
"eval_weighted_avg_f1": 0.993375440096453,
|
| 50 |
+
"eval_weighted_avg_number": 23096,
|
| 51 |
+
"eval_weighted_avg_precision": 0.9936401344515604,
|
| 52 |
+
"eval_weighted_avg_recall": 0.9931156910287495
|
| 53 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440204333
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f97a01ef0c9cf5ab55573541c020f69350a7193a786138e1d42112eb77868c8c
|
| 3 |
size 440204333
|
runs/Mar02_00-52-19_home-3090/events.out.tfevents.1677698625.home-3090.10497.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f80bf45c97d4bf7f9cd5f5b54374434516b794b4b6e0a1fb5c00b642fd552a87
|
| 3 |
+
size 2994
|
runs/Mar03_01-20-39_home-3090/1677784859.1870086/events.out.tfevents.1677784859.home-3090.52004.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be276b4ce297fe687e5ab6dc08cbfbc7b8e3ef647e3f55ee0ea58bac5371c68b
|
| 3 |
+
size 5523
|
runs/Mar03_01-20-39_home-3090/events.out.tfevents.1677784859.home-3090.52004.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00b7d5cc1bc54910f4e653ce177391178c3000bb10858458c2b6da0b017509f4
|
| 3 |
+
size 7325
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"train_loss": 0.06519987745561462,
|
| 4 |
+
"train_runtime": 1743.5904,
|
| 5 |
+
"train_samples": 18388,
|
| 6 |
+
"train_samples_per_second": 316.382,
|
| 7 |
+
"train_steps_per_second": 9.893
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1795 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"global_step": 17250,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 1.0,
|
| 12 |
+
"learning_rate": 6.666666666666667e-06,
|
| 13 |
+
"loss": 0.7818,
|
| 14 |
+
"step": 575
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.0,
|
| 18 |
+
"eval_5_err_f1": 0.0,
|
| 19 |
+
"eval_5_err_number": 34,
|
| 20 |
+
"eval_5_err_precision": 0.0,
|
| 21 |
+
"eval_5_err_recall": 0.0,
|
| 22 |
+
"eval___f1": 0.15277177825773938,
|
| 23 |
+
"eval___number": 9934,
|
| 24 |
+
"eval___precision": 0.26820020222446916,
|
| 25 |
+
"eval___recall": 0.1068049124219851,
|
| 26 |
+
"eval__err_f1": 0.0,
|
| 27 |
+
"eval__err_number": 285,
|
| 28 |
+
"eval__err_precision": 0.0,
|
| 29 |
+
"eval__err_recall": 0.0,
|
| 30 |
+
"eval_egin_err_f1": 0.0,
|
| 31 |
+
"eval_egin_err_number": 1126,
|
| 32 |
+
"eval_egin_err_precision": 0.0,
|
| 33 |
+
"eval_egin_err_recall": 0.0,
|
| 34 |
+
"eval_el_err_f1": 0.0,
|
| 35 |
+
"eval_el_err_number": 1380,
|
| 36 |
+
"eval_el_err_precision": 0.0,
|
| 37 |
+
"eval_el_err_recall": 0.0,
|
| 38 |
+
"eval_loss": 0.283189594745636,
|
| 39 |
+
"eval_macro_avg_f1": 0.07410438993859113,
|
| 40 |
+
"eval_macro_avg_number": 23096,
|
| 41 |
+
"eval_macro_avg_precision": 0.11278010170972645,
|
| 42 |
+
"eval_macro_avg_recall": 0.055471991523343506,
|
| 43 |
+
"eval_micro_avg_f1": 0.24431366311436298,
|
| 44 |
+
"eval_micro_avg_number": 23096,
|
| 45 |
+
"eval_micro_avg_precision": 0.4604868689291282,
|
| 46 |
+
"eval_micro_avg_recall": 0.16626255628680292,
|
| 47 |
+
"eval_nd_err_f1": 0.0,
|
| 48 |
+
"eval_nd_err_number": 1188,
|
| 49 |
+
"eval_nd_err_precision": 0.0,
|
| 50 |
+
"eval_nd_err_recall": 0.0,
|
| 51 |
+
"eval_ne_word_err_f1": 0.44006334125098967,
|
| 52 |
+
"eval_ne_word_err_number": 8247,
|
| 53 |
+
"eval_ne_word_err_precision": 0.6340406114533425,
|
| 54 |
+
"eval_ne_word_err_recall": 0.33697101976476296,
|
| 55 |
+
"eval_overall_accuracy": 0.9313016896134979,
|
| 56 |
+
"eval_runtime": 11.4511,
|
| 57 |
+
"eval_samples_per_second": 1605.79,
|
| 58 |
+
"eval_steps_per_second": 100.427,
|
| 59 |
+
"eval_unc_insert_err_f1": 0.0,
|
| 60 |
+
"eval_unc_insert_err_number": 902,
|
| 61 |
+
"eval_unc_insert_err_precision": 0.0,
|
| 62 |
+
"eval_unc_insert_err_recall": 0.0,
|
| 63 |
+
"eval_weighted_avg_f1": 0.22284539402967157,
|
| 64 |
+
"eval_weighted_avg_number": 23096,
|
| 65 |
+
"eval_weighted_avg_precision": 0.3417576087440939,
|
| 66 |
+
"eval_weighted_avg_recall": 0.16626255628680292,
|
| 67 |
+
"step": 575
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.0,
|
| 71 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 72 |
+
"loss": 0.2475,
|
| 73 |
+
"step": 1150
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 2.0,
|
| 77 |
+
"eval_5_err_f1": 0.0,
|
| 78 |
+
"eval_5_err_number": 34,
|
| 79 |
+
"eval_5_err_precision": 0.0,
|
| 80 |
+
"eval_5_err_recall": 0.0,
|
| 81 |
+
"eval___f1": 0.2921747656106379,
|
| 82 |
+
"eval___number": 9934,
|
| 83 |
+
"eval___precision": 0.3733750978856695,
|
| 84 |
+
"eval___recall": 0.2399838936984095,
|
| 85 |
+
"eval__err_f1": 0.0,
|
| 86 |
+
"eval__err_number": 285,
|
| 87 |
+
"eval__err_precision": 0.0,
|
| 88 |
+
"eval__err_recall": 0.0,
|
| 89 |
+
"eval_egin_err_f1": 0.4211180124223602,
|
| 90 |
+
"eval_egin_err_number": 1126,
|
| 91 |
+
"eval_egin_err_precision": 0.7004132231404959,
|
| 92 |
+
"eval_egin_err_recall": 0.30106571936056836,
|
| 93 |
+
"eval_el_err_f1": 0.23684210526315788,
|
| 94 |
+
"eval_el_err_number": 1380,
|
| 95 |
+
"eval_el_err_precision": 0.875,
|
| 96 |
+
"eval_el_err_recall": 0.13695652173913042,
|
| 97 |
+
"eval_loss": 0.1883164346218109,
|
| 98 |
+
"eval_macro_avg_f1": 0.25811167808226654,
|
| 99 |
+
"eval_macro_avg_number": 23096,
|
| 100 |
+
"eval_macro_avg_precision": 0.5382361502619613,
|
| 101 |
+
"eval_macro_avg_recall": 0.2033771848028768,
|
| 102 |
+
"eval_micro_avg_f1": 0.42355211320451314,
|
| 103 |
+
"eval_micro_avg_number": 23096,
|
| 104 |
+
"eval_micro_avg_precision": 0.5558134627558556,
|
| 105 |
+
"eval_micro_avg_recall": 0.3421371666089366,
|
| 106 |
+
"eval_nd_err_f1": 0.49635036496350365,
|
| 107 |
+
"eval_nd_err_number": 1188,
|
| 108 |
+
"eval_nd_err_precision": 0.6520547945205479,
|
| 109 |
+
"eval_nd_err_recall": 0.4006734006734007,
|
| 110 |
+
"eval_ne_word_err_f1": 0.616193336974331,
|
| 111 |
+
"eval_ne_word_err_number": 8247,
|
| 112 |
+
"eval_ne_word_err_precision": 0.7050460865489767,
|
| 113 |
+
"eval_ne_word_err_recall": 0.5472292955013944,
|
| 114 |
+
"eval_overall_accuracy": 0.9455378089528188,
|
| 115 |
+
"eval_runtime": 12.2219,
|
| 116 |
+
"eval_samples_per_second": 1504.512,
|
| 117 |
+
"eval_steps_per_second": 94.093,
|
| 118 |
+
"eval_unc_insert_err_f1": 0.0022148394241417496,
|
| 119 |
+
"eval_unc_insert_err_number": 902,
|
| 120 |
+
"eval_unc_insert_err_precision": 1.0,
|
| 121 |
+
"eval_unc_insert_err_recall": 0.0011086474501108647,
|
| 122 |
+
"eval_weighted_avg_f1": 0.40599643131240637,
|
| 123 |
+
"eval_weighted_avg_number": 23096,
|
| 124 |
+
"eval_weighted_avg_precision": 0.571372951303787,
|
| 125 |
+
"eval_weighted_avg_recall": 0.3421371666089366,
|
| 126 |
+
"step": 1150
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 3.0,
|
| 130 |
+
"learning_rate": 2e-05,
|
| 131 |
+
"loss": 0.1897,
|
| 132 |
+
"step": 1725
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 3.0,
|
| 136 |
+
"eval_5_err_f1": 0.0,
|
| 137 |
+
"eval_5_err_number": 34,
|
| 138 |
+
"eval_5_err_precision": 0.0,
|
| 139 |
+
"eval_5_err_recall": 0.0,
|
| 140 |
+
"eval___f1": 0.4270756692512309,
|
| 141 |
+
"eval___number": 9934,
|
| 142 |
+
"eval___precision": 0.48778280542986424,
|
| 143 |
+
"eval___recall": 0.379806724380914,
|
| 144 |
+
"eval__err_f1": 0.0,
|
| 145 |
+
"eval__err_number": 285,
|
| 146 |
+
"eval__err_precision": 0.0,
|
| 147 |
+
"eval__err_recall": 0.0,
|
| 148 |
+
"eval_egin_err_f1": 0.6587155963302753,
|
| 149 |
+
"eval_egin_err_number": 1126,
|
| 150 |
+
"eval_egin_err_precision": 0.681214421252372,
|
| 151 |
+
"eval_egin_err_recall": 0.6376554174067496,
|
| 152 |
+
"eval_el_err_f1": 0.39977851605758585,
|
| 153 |
+
"eval_el_err_number": 1380,
|
| 154 |
+
"eval_el_err_precision": 0.8474178403755869,
|
| 155 |
+
"eval_el_err_recall": 0.26159420289855073,
|
| 156 |
+
"eval_loss": 0.1407451629638672,
|
| 157 |
+
"eval_macro_avg_f1": 0.393737200401998,
|
| 158 |
+
"eval_macro_avg_number": 23096,
|
| 159 |
+
"eval_macro_avg_precision": 0.4998071399685999,
|
| 160 |
+
"eval_macro_avg_recall": 0.3484017162866866,
|
| 161 |
+
"eval_micro_avg_f1": 0.5544212726654028,
|
| 162 |
+
"eval_micro_avg_number": 23096,
|
| 163 |
+
"eval_micro_avg_precision": 0.6319960101961654,
|
| 164 |
+
"eval_micro_avg_recall": 0.4938084516799446,
|
| 165 |
+
"eval_nd_err_f1": 0.6383909051158723,
|
| 166 |
+
"eval_nd_err_number": 1188,
|
| 167 |
+
"eval_nd_err_precision": 0.6642402183803457,
|
| 168 |
+
"eval_nd_err_recall": 0.6144781144781145,
|
| 169 |
+
"eval_ne_word_err_f1": 0.7204706785188976,
|
| 170 |
+
"eval_ne_word_err_number": 8247,
|
| 171 |
+
"eval_ne_word_err_precision": 0.7622462787550744,
|
| 172 |
+
"eval_ne_word_err_recall": 0.6830362556080999,
|
| 173 |
+
"eval_overall_accuracy": 0.9567288324367876,
|
| 174 |
+
"eval_runtime": 11.5134,
|
| 175 |
+
"eval_samples_per_second": 1597.097,
|
| 176 |
+
"eval_steps_per_second": 99.884,
|
| 177 |
+
"eval_unc_insert_err_f1": 0.3054662379421222,
|
| 178 |
+
"eval_unc_insert_err_number": 902,
|
| 179 |
+
"eval_unc_insert_err_precision": 0.5555555555555556,
|
| 180 |
+
"eval_unc_insert_err_recall": 0.2106430155210643,
|
| 181 |
+
"eval_weighted_avg_f1": 0.541723174559053,
|
| 182 |
+
"eval_weighted_avg_number": 23096,
|
| 183 |
+
"eval_weighted_avg_precision": 0.6216917214508492,
|
| 184 |
+
"eval_weighted_avg_recall": 0.4938084516799446,
|
| 185 |
+
"step": 1725
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 4.0,
|
| 189 |
+
"learning_rate": 1.925925925925926e-05,
|
| 190 |
+
"loss": 0.1506,
|
| 191 |
+
"step": 2300
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 4.0,
|
| 195 |
+
"eval_5_err_f1": 0.0,
|
| 196 |
+
"eval_5_err_number": 34,
|
| 197 |
+
"eval_5_err_precision": 0.0,
|
| 198 |
+
"eval_5_err_recall": 0.0,
|
| 199 |
+
"eval___f1": 0.5822524859489839,
|
| 200 |
+
"eval___number": 9934,
|
| 201 |
+
"eval___precision": 0.6285880980163361,
|
| 202 |
+
"eval___recall": 0.5422790416750554,
|
| 203 |
+
"eval__err_f1": 0.10526315789473685,
|
| 204 |
+
"eval__err_number": 285,
|
| 205 |
+
"eval__err_precision": 0.8421052631578947,
|
| 206 |
+
"eval__err_recall": 0.056140350877192984,
|
| 207 |
+
"eval_egin_err_f1": 0.7867298578199051,
|
| 208 |
+
"eval_egin_err_number": 1126,
|
| 209 |
+
"eval_egin_err_precision": 0.8434959349593496,
|
| 210 |
+
"eval_egin_err_recall": 0.7371225577264654,
|
| 211 |
+
"eval_el_err_f1": 0.5848513902205178,
|
| 212 |
+
"eval_el_err_number": 1380,
|
| 213 |
+
"eval_el_err_precision": 0.8640226628895185,
|
| 214 |
+
"eval_el_err_recall": 0.4420289855072464,
|
| 215 |
+
"eval_loss": 0.10146419703960419,
|
| 216 |
+
"eval_macro_avg_f1": 0.5028590528776729,
|
| 217 |
+
"eval_macro_avg_number": 23096,
|
| 218 |
+
"eval_macro_avg_precision": 0.6915397433751863,
|
| 219 |
+
"eval_macro_avg_recall": 0.4461313799008184,
|
| 220 |
+
"eval_micro_avg_f1": 0.6814043606144078,
|
| 221 |
+
"eval_micro_avg_number": 23096,
|
| 222 |
+
"eval_micro_avg_precision": 0.7392867997163408,
|
| 223 |
+
"eval_micro_avg_recall": 0.6319276065119501,
|
| 224 |
+
"eval_nd_err_f1": 0.7756925826630922,
|
| 225 |
+
"eval_nd_err_number": 1188,
|
| 226 |
+
"eval_nd_err_precision": 0.8266666666666667,
|
| 227 |
+
"eval_nd_err_recall": 0.7306397306397306,
|
| 228 |
+
"eval_ne_word_err_f1": 0.8148148148148148,
|
| 229 |
+
"eval_ne_word_err_number": 8247,
|
| 230 |
+
"eval_ne_word_err_precision": 0.8228239366963402,
|
| 231 |
+
"eval_ne_word_err_recall": 0.8069601067054687,
|
| 232 |
+
"eval_overall_accuracy": 0.9701177753027322,
|
| 233 |
+
"eval_runtime": 11.6132,
|
| 234 |
+
"eval_samples_per_second": 1583.375,
|
| 235 |
+
"eval_steps_per_second": 99.026,
|
| 236 |
+
"eval_unc_insert_err_f1": 0.37326813365933176,
|
| 237 |
+
"eval_unc_insert_err_number": 902,
|
| 238 |
+
"eval_unc_insert_err_precision": 0.7046153846153846,
|
| 239 |
+
"eval_unc_insert_err_recall": 0.25388026607538805,
|
| 240 |
+
"eval_weighted_avg_f1": 0.6704640351735791,
|
| 241 |
+
"eval_weighted_avg_number": 23096,
|
| 242 |
+
"eval_weighted_avg_precision": 0.7373568559968757,
|
| 243 |
+
"eval_weighted_avg_recall": 0.6319276065119501,
|
| 244 |
+
"step": 2300
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 5.0,
|
| 248 |
+
"learning_rate": 1.851851851851852e-05,
|
| 249 |
+
"loss": 0.1156,
|
| 250 |
+
"step": 2875
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 5.0,
|
| 254 |
+
"eval_5_err_f1": 0.0,
|
| 255 |
+
"eval_5_err_number": 34,
|
| 256 |
+
"eval_5_err_precision": 0.0,
|
| 257 |
+
"eval_5_err_recall": 0.0,
|
| 258 |
+
"eval___f1": 0.7171141287446875,
|
| 259 |
+
"eval___number": 9934,
|
| 260 |
+
"eval___precision": 0.7391025641025641,
|
| 261 |
+
"eval___recall": 0.6963962150191262,
|
| 262 |
+
"eval__err_f1": 0.3314917127071823,
|
| 263 |
+
"eval__err_number": 285,
|
| 264 |
+
"eval__err_precision": 0.7792207792207793,
|
| 265 |
+
"eval__err_recall": 0.21052631578947367,
|
| 266 |
+
"eval_egin_err_f1": 0.853273137697517,
|
| 267 |
+
"eval_egin_err_number": 1126,
|
| 268 |
+
"eval_egin_err_precision": 0.8677685950413223,
|
| 269 |
+
"eval_egin_err_recall": 0.8392539964476021,
|
| 270 |
+
"eval_el_err_f1": 0.7756132756132756,
|
| 271 |
+
"eval_el_err_number": 1380,
|
| 272 |
+
"eval_el_err_precision": 0.7722701149425287,
|
| 273 |
+
"eval_el_err_recall": 0.7789855072463768,
|
| 274 |
+
"eval_loss": 0.07168415188789368,
|
| 275 |
+
"eval_macro_avg_f1": 0.6164482191003791,
|
| 276 |
+
"eval_macro_avg_number": 23096,
|
| 277 |
+
"eval_macro_avg_precision": 0.7024262910397409,
|
| 278 |
+
"eval_macro_avg_recall": 0.5800476084892296,
|
| 279 |
+
"eval_micro_avg_f1": 0.7831352220931272,
|
| 280 |
+
"eval_micro_avg_number": 23096,
|
| 281 |
+
"eval_micro_avg_precision": 0.8090951061865189,
|
| 282 |
+
"eval_micro_avg_recall": 0.7587894007620367,
|
| 283 |
+
"eval_nd_err_f1": 0.841511072514112,
|
| 284 |
+
"eval_nd_err_number": 1188,
|
| 285 |
+
"eval_nd_err_precision": 0.8690582959641255,
|
| 286 |
+
"eval_nd_err_recall": 0.8156565656565656,
|
| 287 |
+
"eval_ne_word_err_f1": 0.8785149788641794,
|
| 288 |
+
"eval_ne_word_err_number": 8247,
|
| 289 |
+
"eval_ne_word_err_precision": 0.887815750371471,
|
| 290 |
+
"eval_ne_word_err_recall": 0.869407057111677,
|
| 291 |
+
"eval_overall_accuracy": 0.9797270077489988,
|
| 292 |
+
"eval_runtime": 11.582,
|
| 293 |
+
"eval_samples_per_second": 1587.637,
|
| 294 |
+
"eval_steps_per_second": 99.292,
|
| 295 |
+
"eval_unc_insert_err_f1": 0.5340674466620785,
|
| 296 |
+
"eval_unc_insert_err_number": 902,
|
| 297 |
+
"eval_unc_insert_err_precision": 0.7041742286751361,
|
| 298 |
+
"eval_unc_insert_err_recall": 0.43015521064301554,
|
| 299 |
+
"eval_weighted_avg_f1": 0.7783155433059336,
|
| 300 |
+
"eval_weighted_avg_number": 23096,
|
| 301 |
+
"eval_weighted_avg_precision": 0.8051864346074598,
|
| 302 |
+
"eval_weighted_avg_recall": 0.7587894007620367,
|
| 303 |
+
"step": 2875
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 6.0,
|
| 307 |
+
"learning_rate": 1.7777777777777777e-05,
|
| 308 |
+
"loss": 0.0872,
|
| 309 |
+
"step": 3450
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 6.0,
|
| 313 |
+
"eval_5_err_f1": 0.0,
|
| 314 |
+
"eval_5_err_number": 34,
|
| 315 |
+
"eval_5_err_precision": 0.0,
|
| 316 |
+
"eval_5_err_recall": 0.0,
|
| 317 |
+
"eval___f1": 0.8336382113821139,
|
| 318 |
+
"eval___number": 9934,
|
| 319 |
+
"eval___precision": 0.8416786373896984,
|
| 320 |
+
"eval___recall": 0.8257499496678076,
|
| 321 |
+
"eval__err_f1": 0.5062034739454094,
|
| 322 |
+
"eval__err_number": 285,
|
| 323 |
+
"eval__err_precision": 0.864406779661017,
|
| 324 |
+
"eval__err_recall": 0.35789473684210527,
|
| 325 |
+
"eval_egin_err_f1": 0.8927116342236305,
|
| 326 |
+
"eval_egin_err_number": 1126,
|
| 327 |
+
"eval_egin_err_precision": 0.9104339796860572,
|
| 328 |
+
"eval_egin_err_recall": 0.8756660746003553,
|
| 329 |
+
"eval_el_err_f1": 0.8574585635359115,
|
| 330 |
+
"eval_el_err_number": 1380,
|
| 331 |
+
"eval_el_err_precision": 0.8719101123595505,
|
| 332 |
+
"eval_el_err_recall": 0.8434782608695652,
|
| 333 |
+
"eval_loss": 0.048479896038770676,
|
| 334 |
+
"eval_macro_avg_f1": 0.7046115753196951,
|
| 335 |
+
"eval_macro_avg_number": 23096,
|
| 336 |
+
"eval_macro_avg_precision": 0.7584152991122148,
|
| 337 |
+
"eval_macro_avg_recall": 0.677463811561773,
|
| 338 |
+
"eval_micro_avg_f1": 0.8668196219818638,
|
| 339 |
+
"eval_micro_avg_number": 23096,
|
| 340 |
+
"eval_micro_avg_precision": 0.8749834575852485,
|
| 341 |
+
"eval_micro_avg_recall": 0.8588067197783166,
|
| 342 |
+
"eval_nd_err_f1": 0.8641655886157827,
|
| 343 |
+
"eval_nd_err_number": 1188,
|
| 344 |
+
"eval_nd_err_precision": 0.8859416445623343,
|
| 345 |
+
"eval_nd_err_recall": 0.8434343434343434,
|
| 346 |
+
"eval_ne_word_err_f1": 0.9267559935107854,
|
| 347 |
+
"eval_ne_word_err_number": 8247,
|
| 348 |
+
"eval_ne_word_err_precision": 0.918532634587899,
|
| 349 |
+
"eval_ne_word_err_recall": 0.935127925306172,
|
| 350 |
+
"eval_overall_accuracy": 0.9874049148084078,
|
| 351 |
+
"eval_runtime": 11.5539,
|
| 352 |
+
"eval_samples_per_second": 1591.493,
|
| 353 |
+
"eval_steps_per_second": 99.533,
|
| 354 |
+
"eval_unc_insert_err_f1": 0.7559591373439274,
|
| 355 |
+
"eval_unc_insert_err_number": 902,
|
| 356 |
+
"eval_unc_insert_err_precision": 0.7744186046511627,
|
| 357 |
+
"eval_unc_insert_err_recall": 0.738359201773836,
|
| 358 |
+
"eval_weighted_avg_f1": 0.8644603671372942,
|
| 359 |
+
"eval_weighted_avg_number": 23096,
|
| 360 |
+
"eval_weighted_avg_precision": 0.872971035018927,
|
| 361 |
+
"eval_weighted_avg_recall": 0.8588067197783166,
|
| 362 |
+
"step": 3450
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 7.0,
|
| 366 |
+
"learning_rate": 1.7037037037037038e-05,
|
| 367 |
+
"loss": 0.0675,
|
| 368 |
+
"step": 4025
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 7.0,
|
| 372 |
+
"eval_5_err_f1": 0.0,
|
| 373 |
+
"eval_5_err_number": 34,
|
| 374 |
+
"eval_5_err_precision": 0.0,
|
| 375 |
+
"eval_5_err_recall": 0.0,
|
| 376 |
+
"eval___f1": 0.8946004977904202,
|
| 377 |
+
"eval___number": 9934,
|
| 378 |
+
"eval___precision": 0.9029016712806316,
|
| 379 |
+
"eval___recall": 0.8864505737869942,
|
| 380 |
+
"eval__err_f1": 0.6258503401360545,
|
| 381 |
+
"eval__err_number": 285,
|
| 382 |
+
"eval__err_precision": 0.8846153846153846,
|
| 383 |
+
"eval__err_recall": 0.4842105263157895,
|
| 384 |
+
"eval_egin_err_f1": 0.8920105355575065,
|
| 385 |
+
"eval_egin_err_number": 1126,
|
| 386 |
+
"eval_egin_err_precision": 0.8819444444444444,
|
| 387 |
+
"eval_egin_err_recall": 0.9023090586145648,
|
| 388 |
+
"eval_el_err_f1": 0.8992424242424242,
|
| 389 |
+
"eval_el_err_number": 1380,
|
| 390 |
+
"eval_el_err_precision": 0.942063492063492,
|
| 391 |
+
"eval_el_err_recall": 0.8601449275362318,
|
| 392 |
+
"eval_loss": 0.035397969186306,
|
| 393 |
+
"eval_macro_avg_f1": 0.7470366372560805,
|
| 394 |
+
"eval_macro_avg_number": 23096,
|
| 395 |
+
"eval_macro_avg_precision": 0.7838431031789916,
|
| 396 |
+
"eval_macro_avg_recall": 0.7255447092342178,
|
| 397 |
+
"eval_micro_avg_f1": 0.9088604829017808,
|
| 398 |
+
"eval_micro_avg_number": 23096,
|
| 399 |
+
"eval_micro_avg_precision": 0.9174202655608982,
|
| 400 |
+
"eval_micro_avg_recall": 0.9004589539314167,
|
| 401 |
+
"eval_nd_err_f1": 0.8717948717948718,
|
| 402 |
+
"eval_nd_err_number": 1188,
|
| 403 |
+
"eval_nd_err_precision": 0.8854166666666666,
|
| 404 |
+
"eval_nd_err_recall": 0.8585858585858586,
|
| 405 |
+
"eval_ne_word_err_f1": 0.9520577004666949,
|
| 406 |
+
"eval_ne_word_err_number": 8247,
|
| 407 |
+
"eval_ne_word_err_precision": 0.9517692680562287,
|
| 408 |
+
"eval_ne_word_err_recall": 0.9523463077482721,
|
| 409 |
+
"eval_overall_accuracy": 0.9913860518021754,
|
| 410 |
+
"eval_runtime": 11.6281,
|
| 411 |
+
"eval_samples_per_second": 1581.339,
|
| 412 |
+
"eval_steps_per_second": 98.898,
|
| 413 |
+
"eval_unc_insert_err_f1": 0.8407367280606717,
|
| 414 |
+
"eval_unc_insert_err_number": 902,
|
| 415 |
+
"eval_unc_insert_err_precision": 0.8220338983050848,
|
| 416 |
+
"eval_unc_insert_err_recall": 0.8603104212860311,
|
| 417 |
+
"eval_weighted_avg_f1": 0.9073581482781856,
|
| 418 |
+
"eval_weighted_avg_number": 23096,
|
| 419 |
+
"eval_weighted_avg_precision": 0.9160568228498506,
|
| 420 |
+
"eval_weighted_avg_recall": 0.9004589539314167,
|
| 421 |
+
"step": 4025
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 8.0,
|
| 425 |
+
"learning_rate": 1.6296296296296297e-05,
|
| 426 |
+
"loss": 0.0532,
|
| 427 |
+
"step": 4600
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 8.0,
|
| 431 |
+
"eval_5_err_f1": 0.0,
|
| 432 |
+
"eval_5_err_number": 34,
|
| 433 |
+
"eval_5_err_precision": 0.0,
|
| 434 |
+
"eval_5_err_recall": 0.0,
|
| 435 |
+
"eval___f1": 0.9236796580848683,
|
| 436 |
+
"eval___number": 9934,
|
| 437 |
+
"eval___precision": 0.9338477366255145,
|
| 438 |
+
"eval___recall": 0.913730622105899,
|
| 439 |
+
"eval__err_f1": 0.7455621301775148,
|
| 440 |
+
"eval__err_number": 285,
|
| 441 |
+
"eval__err_precision": 0.8513513513513513,
|
| 442 |
+
"eval__err_recall": 0.6631578947368421,
|
| 443 |
+
"eval_egin_err_f1": 0.929652715939448,
|
| 444 |
+
"eval_egin_err_number": 1126,
|
| 445 |
+
"eval_egin_err_precision": 0.9321428571428572,
|
| 446 |
+
"eval_egin_err_recall": 0.9271758436944938,
|
| 447 |
+
"eval_el_err_f1": 0.9120669965740388,
|
| 448 |
+
"eval_el_err_number": 1380,
|
| 449 |
+
"eval_el_err_precision": 0.9607056936647955,
|
| 450 |
+
"eval_el_err_recall": 0.8681159420289855,
|
| 451 |
+
"eval_loss": 0.02567952871322632,
|
| 452 |
+
"eval_macro_avg_f1": 0.7841691959478824,
|
| 453 |
+
"eval_macro_avg_number": 23096,
|
| 454 |
+
"eval_macro_avg_precision": 0.805945865713128,
|
| 455 |
+
"eval_macro_avg_recall": 0.7659910981441609,
|
| 456 |
+
"eval_micro_avg_f1": 0.9342174369747899,
|
| 457 |
+
"eval_micro_avg_number": 23096,
|
| 458 |
+
"eval_micro_avg_precision": 0.9444690265486726,
|
| 459 |
+
"eval_micro_avg_recall": 0.9241860062348458,
|
| 460 |
+
"eval_nd_err_f1": 0.8971404182671789,
|
| 461 |
+
"eval_nd_err_number": 1188,
|
| 462 |
+
"eval_nd_err_precision": 0.90995670995671,
|
| 463 |
+
"eval_nd_err_recall": 0.8846801346801347,
|
| 464 |
+
"eval_ne_word_err_f1": 0.9680553868577675,
|
| 465 |
+
"eval_ne_word_err_number": 8247,
|
| 466 |
+
"eval_ne_word_err_precision": 0.9697043435941112,
|
| 467 |
+
"eval_ne_word_err_recall": 0.9664120286164666,
|
| 468 |
+
"eval_overall_accuracy": 0.9938387165572644,
|
| 469 |
+
"eval_runtime": 11.5399,
|
| 470 |
+
"eval_samples_per_second": 1593.424,
|
| 471 |
+
"eval_steps_per_second": 99.654,
|
| 472 |
+
"eval_unc_insert_err_f1": 0.897196261682243,
|
| 473 |
+
"eval_unc_insert_err_number": 902,
|
| 474 |
+
"eval_unc_insert_err_precision": 0.8898582333696837,
|
| 475 |
+
"eval_unc_insert_err_recall": 0.9046563192904656,
|
| 476 |
+
"eval_weighted_avg_f1": 0.9331653517617972,
|
| 477 |
+
"eval_weighted_avg_number": 23096,
|
| 478 |
+
"eval_weighted_avg_precision": 0.9428332908175411,
|
| 479 |
+
"eval_weighted_avg_recall": 0.9241860062348458,
|
| 480 |
+
"step": 4600
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 9.0,
|
| 484 |
+
"learning_rate": 1.555555555555556e-05,
|
| 485 |
+
"loss": 0.0418,
|
| 486 |
+
"step": 5175
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 9.0,
|
| 490 |
+
"eval_5_err_f1": 0.0,
|
| 491 |
+
"eval_5_err_number": 34,
|
| 492 |
+
"eval_5_err_precision": 0.0,
|
| 493 |
+
"eval_5_err_recall": 0.0,
|
| 494 |
+
"eval___f1": 0.9510765187506318,
|
| 495 |
+
"eval___number": 9934,
|
| 496 |
+
"eval___precision": 0.9550345107592367,
|
| 497 |
+
"eval___recall": 0.9471511979061807,
|
| 498 |
+
"eval__err_f1": 0.8208955223880597,
|
| 499 |
+
"eval__err_number": 285,
|
| 500 |
+
"eval__err_precision": 0.8764940239043825,
|
| 501 |
+
"eval__err_recall": 0.7719298245614035,
|
| 502 |
+
"eval_egin_err_f1": 0.9310954063604241,
|
| 503 |
+
"eval_egin_err_number": 1126,
|
| 504 |
+
"eval_egin_err_precision": 0.9261862917398945,
|
| 505 |
+
"eval_egin_err_recall": 0.9360568383658969,
|
| 506 |
+
"eval_el_err_f1": 0.9391495601173021,
|
| 507 |
+
"eval_el_err_number": 1380,
|
| 508 |
+
"eval_el_err_precision": 0.9502967359050445,
|
| 509 |
+
"eval_el_err_recall": 0.9282608695652174,
|
| 510 |
+
"eval_loss": 0.01935717649757862,
|
| 511 |
+
"eval_macro_avg_f1": 0.8072644057238675,
|
| 512 |
+
"eval_macro_avg_number": 23096,
|
| 513 |
+
"eval_macro_avg_precision": 0.8132706801082134,
|
| 514 |
+
"eval_macro_avg_recall": 0.8022721637436516,
|
| 515 |
+
"eval_micro_avg_f1": 0.9534545296583481,
|
| 516 |
+
"eval_micro_avg_number": 23096,
|
| 517 |
+
"eval_micro_avg_precision": 0.9565918500762693,
|
| 518 |
+
"eval_micro_avg_recall": 0.9503377208174576,
|
| 519 |
+
"eval_nd_err_f1": 0.9040980143641741,
|
| 520 |
+
"eval_nd_err_number": 1188,
|
| 521 |
+
"eval_nd_err_precision": 0.90754877014419,
|
| 522 |
+
"eval_nd_err_recall": 0.9006734006734006,
|
| 523 |
+
"eval_ne_word_err_f1": 0.9772410026096984,
|
| 524 |
+
"eval_ne_word_err_number": 8247,
|
| 525 |
+
"eval_ne_word_err_precision": 0.9782503037667072,
|
| 526 |
+
"eval_ne_word_err_recall": 0.9762337819813266,
|
| 527 |
+
"eval_overall_accuracy": 0.9954619777719851,
|
| 528 |
+
"eval_runtime": 11.5934,
|
| 529 |
+
"eval_samples_per_second": 1586.069,
|
| 530 |
+
"eval_steps_per_second": 99.194,
|
| 531 |
+
"eval_unc_insert_err_f1": 0.934559221200649,
|
| 532 |
+
"eval_unc_insert_err_number": 902,
|
| 533 |
+
"eval_unc_insert_err_precision": 0.9123548046462513,
|
| 534 |
+
"eval_unc_insert_err_recall": 0.9578713968957872,
|
| 535 |
+
"eval_weighted_avg_f1": 0.9526643829573475,
|
| 536 |
+
"eval_weighted_avg_number": 23096,
|
| 537 |
+
"eval_weighted_avg_precision": 0.9551502907269372,
|
| 538 |
+
"eval_weighted_avg_recall": 0.9503377208174576,
|
| 539 |
+
"step": 5175
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 10.0,
|
| 543 |
+
"learning_rate": 1.4814814814814815e-05,
|
| 544 |
+
"loss": 0.0329,
|
| 545 |
+
"step": 5750
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 10.0,
|
| 549 |
+
"eval_5_err_f1": 0.0,
|
| 550 |
+
"eval_5_err_number": 34,
|
| 551 |
+
"eval_5_err_precision": 0.0,
|
| 552 |
+
"eval_5_err_recall": 0.0,
|
| 553 |
+
"eval___f1": 0.9608594774538484,
|
| 554 |
+
"eval___number": 9934,
|
| 555 |
+
"eval___precision": 0.9628993125758188,
|
| 556 |
+
"eval___recall": 0.9588282665592913,
|
| 557 |
+
"eval__err_f1": 0.8358208955223881,
|
| 558 |
+
"eval__err_number": 285,
|
| 559 |
+
"eval__err_precision": 0.7924528301886793,
|
| 560 |
+
"eval__err_recall": 0.8842105263157894,
|
| 561 |
+
"eval_egin_err_f1": 0.9470899470899471,
|
| 562 |
+
"eval_egin_err_number": 1126,
|
| 563 |
+
"eval_egin_err_precision": 0.9404553415061296,
|
| 564 |
+
"eval_egin_err_recall": 0.9538188277087034,
|
| 565 |
+
"eval_el_err_f1": 0.9549150036954914,
|
| 566 |
+
"eval_el_err_number": 1380,
|
| 567 |
+
"eval_el_err_precision": 0.9743589743589743,
|
| 568 |
+
"eval_el_err_recall": 0.936231884057971,
|
| 569 |
+
"eval_loss": 0.015092139132320881,
|
| 570 |
+
"eval_macro_avg_f1": 0.8193214504048429,
|
| 571 |
+
"eval_macro_avg_number": 23096,
|
| 572 |
+
"eval_macro_avg_precision": 0.8139063162203923,
|
| 573 |
+
"eval_macro_avg_recall": 0.8255497795620286,
|
| 574 |
+
"eval_micro_avg_f1": 0.961947919602784,
|
| 575 |
+
"eval_micro_avg_number": 23096,
|
| 576 |
+
"eval_micro_avg_precision": 0.9634310532030401,
|
| 577 |
+
"eval_micro_avg_recall": 0.9604693453411847,
|
| 578 |
+
"eval_nd_err_f1": 0.9224936815501265,
|
| 579 |
+
"eval_nd_err_number": 1188,
|
| 580 |
+
"eval_nd_err_precision": 0.9232715008431703,
|
| 581 |
+
"eval_nd_err_recall": 0.9217171717171717,
|
| 582 |
+
"eval_ne_word_err_f1": 0.9796636921022278,
|
| 583 |
+
"eval_ne_word_err_number": 8247,
|
| 584 |
+
"eval_ne_word_err_precision": 0.9809141745684415,
|
| 585 |
+
"eval_ne_word_err_recall": 0.9784163938401843,
|
| 586 |
+
"eval_overall_accuracy": 0.9963387758003744,
|
| 587 |
+
"eval_runtime": 11.5919,
|
| 588 |
+
"eval_samples_per_second": 1586.275,
|
| 589 |
+
"eval_steps_per_second": 99.207,
|
| 590 |
+
"eval_unc_insert_err_f1": 0.9537289058247141,
|
| 591 |
+
"eval_unc_insert_err_number": 902,
|
| 592 |
+
"eval_unc_insert_err_precision": 0.9368983957219251,
|
| 593 |
+
"eval_unc_insert_err_recall": 0.9711751662971175,
|
| 594 |
+
"eval_weighted_avg_f1": 0.9613381289087282,
|
| 595 |
+
"eval_weighted_avg_number": 23096,
|
| 596 |
+
"eval_weighted_avg_precision": 0.9623478966267772,
|
| 597 |
+
"eval_weighted_avg_recall": 0.9604693453411847,
|
| 598 |
+
"step": 5750
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 11.0,
|
| 602 |
+
"learning_rate": 1.4074074074074075e-05,
|
| 603 |
+
"loss": 0.027,
|
| 604 |
+
"step": 6325
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 11.0,
|
| 608 |
+
"eval_5_err_f1": 0.0,
|
| 609 |
+
"eval_5_err_number": 34,
|
| 610 |
+
"eval_5_err_precision": 0.0,
|
| 611 |
+
"eval_5_err_recall": 0.0,
|
| 612 |
+
"eval___f1": 0.9646227605349483,
|
| 613 |
+
"eval___number": 9934,
|
| 614 |
+
"eval___precision": 0.9672097965792936,
|
| 615 |
+
"eval___recall": 0.9620495268773908,
|
| 616 |
+
"eval__err_f1": 0.8822495606326889,
|
| 617 |
+
"eval__err_number": 285,
|
| 618 |
+
"eval__err_precision": 0.8838028169014085,
|
| 619 |
+
"eval__err_recall": 0.8807017543859649,
|
| 620 |
+
"eval_egin_err_f1": 0.9626998223801065,
|
| 621 |
+
"eval_egin_err_number": 1126,
|
| 622 |
+
"eval_egin_err_precision": 0.9626998223801065,
|
| 623 |
+
"eval_egin_err_recall": 0.9626998223801065,
|
| 624 |
+
"eval_el_err_f1": 0.9632623071271125,
|
| 625 |
+
"eval_el_err_number": 1380,
|
| 626 |
+
"eval_el_err_precision": 0.9769001490312966,
|
| 627 |
+
"eval_el_err_recall": 0.95,
|
| 628 |
+
"eval_loss": 0.012891112826764584,
|
| 629 |
+
"eval_macro_avg_f1": 0.8290086444888856,
|
| 630 |
+
"eval_macro_avg_number": 23096,
|
| 631 |
+
"eval_macro_avg_precision": 0.8267544902067143,
|
| 632 |
+
"eval_macro_avg_recall": 0.8317541650077346,
|
| 633 |
+
"eval_micro_avg_f1": 0.967199947901969,
|
| 634 |
+
"eval_micro_avg_number": 23096,
|
| 635 |
+
"eval_micro_avg_precision": 0.9698315267075879,
|
| 636 |
+
"eval_micro_avg_recall": 0.964582611707655,
|
| 637 |
+
"eval_nd_err_f1": 0.9370277078085643,
|
| 638 |
+
"eval_nd_err_number": 1188,
|
| 639 |
+
"eval_nd_err_precision": 0.9346733668341709,
|
| 640 |
+
"eval_nd_err_recall": 0.9393939393939394,
|
| 641 |
+
"eval_ne_word_err_f1": 0.9842759629449049,
|
| 642 |
+
"eval_ne_word_err_number": 8247,
|
| 643 |
+
"eval_ne_word_err_precision": 0.989462075726014,
|
| 644 |
+
"eval_ne_word_err_recall": 0.9791439311264702,
|
| 645 |
+
"eval_overall_accuracy": 0.9968541908576033,
|
| 646 |
+
"eval_runtime": 11.5138,
|
| 647 |
+
"eval_samples_per_second": 1597.044,
|
| 648 |
+
"eval_steps_per_second": 99.88,
|
| 649 |
+
"eval_unc_insert_err_f1": 0.9379310344827587,
|
| 650 |
+
"eval_unc_insert_err_number": 902,
|
| 651 |
+
"eval_unc_insert_err_precision": 0.8992878942014242,
|
| 652 |
+
"eval_unc_insert_err_recall": 0.9800443458980045,
|
| 653 |
+
"eval_weighted_avg_f1": 0.9665670327397197,
|
| 654 |
+
"eval_weighted_avg_number": 23096,
|
| 655 |
+
"eval_weighted_avg_precision": 0.9687353440673672,
|
| 656 |
+
"eval_weighted_avg_recall": 0.964582611707655,
|
| 657 |
+
"step": 6325
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 12.0,
|
| 661 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 662 |
+
"loss": 0.0228,
|
| 663 |
+
"step": 6900
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 12.0,
|
| 667 |
+
"eval_5_err_f1": 0.05714285714285715,
|
| 668 |
+
"eval_5_err_number": 34,
|
| 669 |
+
"eval_5_err_precision": 1.0,
|
| 670 |
+
"eval_5_err_recall": 0.029411764705882353,
|
| 671 |
+
"eval___f1": 0.9747602221100454,
|
| 672 |
+
"eval___number": 9934,
|
| 673 |
+
"eval___precision": 0.9776225192385581,
|
| 674 |
+
"eval___recall": 0.9719146366015704,
|
| 675 |
+
"eval__err_f1": 0.9033391915641477,
|
| 676 |
+
"eval__err_number": 285,
|
| 677 |
+
"eval__err_precision": 0.9049295774647887,
|
| 678 |
+
"eval__err_recall": 0.9017543859649123,
|
| 679 |
+
"eval_egin_err_f1": 0.957931638913234,
|
| 680 |
+
"eval_egin_err_number": 1126,
|
| 681 |
+
"eval_egin_err_precision": 0.9455017301038062,
|
| 682 |
+
"eval_egin_err_recall": 0.9706927175843695,
|
| 683 |
+
"eval_el_err_f1": 0.9700292397660818,
|
| 684 |
+
"eval_el_err_number": 1380,
|
| 685 |
+
"eval_el_err_precision": 0.9786135693215339,
|
| 686 |
+
"eval_el_err_recall": 0.9615942028985507,
|
| 687 |
+
"eval_loss": 0.00973260123282671,
|
| 688 |
+
"eval_macro_avg_f1": 0.8465241770192731,
|
| 689 |
+
"eval_macro_avg_number": 23096,
|
| 690 |
+
"eval_macro_avg_precision": 0.9626461351075175,
|
| 691 |
+
"eval_macro_avg_recall": 0.8448949158929412,
|
| 692 |
+
"eval_micro_avg_f1": 0.9757070969980912,
|
| 693 |
+
"eval_micro_avg_number": 23096,
|
| 694 |
+
"eval_micro_avg_precision": 0.9775730180806675,
|
| 695 |
+
"eval_micro_avg_recall": 0.9738482854173883,
|
| 696 |
+
"eval_nd_err_f1": 0.9432387312186977,
|
| 697 |
+
"eval_nd_err_number": 1188,
|
| 698 |
+
"eval_nd_err_precision": 0.9354304635761589,
|
| 699 |
+
"eval_nd_err_recall": 0.9511784511784511,
|
| 700 |
+
"eval_ne_word_err_f1": 0.989364934670313,
|
| 701 |
+
"eval_ne_word_err_number": 8247,
|
| 702 |
+
"eval_ne_word_err_precision": 0.9917153996101364,
|
| 703 |
+
"eval_ne_word_err_recall": 0.9870255850612344,
|
| 704 |
+
"eval_overall_accuracy": 0.9976184269769426,
|
| 705 |
+
"eval_runtime": 11.5829,
|
| 706 |
+
"eval_samples_per_second": 1587.51,
|
| 707 |
+
"eval_steps_per_second": 99.284,
|
| 708 |
+
"eval_unc_insert_err_f1": 0.9763866007688083,
|
| 709 |
+
"eval_unc_insert_err_number": 902,
|
| 710 |
+
"eval_unc_insert_err_precision": 0.9673558215451578,
|
| 711 |
+
"eval_unc_insert_err_recall": 0.9855875831485588,
|
| 712 |
+
"eval_weighted_avg_f1": 0.9750820441756441,
|
| 713 |
+
"eval_weighted_avg_number": 23096,
|
| 714 |
+
"eval_weighted_avg_precision": 0.9777126754330147,
|
| 715 |
+
"eval_weighted_avg_recall": 0.9738482854173883,
|
| 716 |
+
"step": 6900
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 13.0,
|
| 720 |
+
"learning_rate": 1.2592592592592593e-05,
|
| 721 |
+
"loss": 0.0187,
|
| 722 |
+
"step": 7475
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 13.0,
|
| 726 |
+
"eval_5_err_f1": 0.1111111111111111,
|
| 727 |
+
"eval_5_err_number": 34,
|
| 728 |
+
"eval_5_err_precision": 1.0,
|
| 729 |
+
"eval_5_err_recall": 0.058823529411764705,
|
| 730 |
+
"eval___f1": 0.9772773177135933,
|
| 731 |
+
"eval___number": 9934,
|
| 732 |
+
"eval___precision": 0.9804457953394123,
|
| 733 |
+
"eval___recall": 0.9741292530702638,
|
| 734 |
+
"eval__err_f1": 0.9159212880143113,
|
| 735 |
+
"eval__err_number": 285,
|
| 736 |
+
"eval__err_precision": 0.9343065693430657,
|
| 737 |
+
"eval__err_recall": 0.8982456140350877,
|
| 738 |
+
"eval_egin_err_f1": 0.9725420726306466,
|
| 739 |
+
"eval_egin_err_number": 1126,
|
| 740 |
+
"eval_egin_err_precision": 0.9699646643109541,
|
| 741 |
+
"eval_egin_err_recall": 0.9751332149200711,
|
| 742 |
+
"eval_el_err_f1": 0.9773391812865497,
|
| 743 |
+
"eval_el_err_number": 1380,
|
| 744 |
+
"eval_el_err_precision": 0.9859882005899705,
|
| 745 |
+
"eval_el_err_recall": 0.9688405797101449,
|
| 746 |
+
"eval_loss": 0.00791421253234148,
|
| 747 |
+
"eval_macro_avg_f1": 0.860476059382429,
|
| 748 |
+
"eval_macro_avg_number": 23096,
|
| 749 |
+
"eval_macro_avg_precision": 0.9740798854231898,
|
| 750 |
+
"eval_macro_avg_recall": 0.8515739437144252,
|
| 751 |
+
"eval_micro_avg_f1": 0.9794606800121586,
|
| 752 |
+
"eval_micro_avg_number": 23096,
|
| 753 |
+
"eval_micro_avg_precision": 0.9823186133612055,
|
| 754 |
+
"eval_micro_avg_recall": 0.9766193280221683,
|
| 755 |
+
"eval_nd_err_f1": 0.9596977329974811,
|
| 756 |
+
"eval_nd_err_number": 1188,
|
| 757 |
+
"eval_nd_err_precision": 0.957286432160804,
|
| 758 |
+
"eval_nd_err_recall": 0.9621212121212122,
|
| 759 |
+
"eval_ne_word_err_f1": 0.9902830074092069,
|
| 760 |
+
"eval_ne_word_err_number": 8247,
|
| 761 |
+
"eval_ne_word_err_precision": 0.991969826012897,
|
| 762 |
+
"eval_ne_word_err_recall": 0.9886019158481872,
|
| 763 |
+
"eval_overall_accuracy": 0.9980627503021399,
|
| 764 |
+
"eval_runtime": 11.6079,
|
| 765 |
+
"eval_samples_per_second": 1584.097,
|
| 766 |
+
"eval_steps_per_second": 99.071,
|
| 767 |
+
"eval_unc_insert_err_f1": 0.9796367638965328,
|
| 768 |
+
"eval_unc_insert_err_number": 902,
|
| 769 |
+
"eval_unc_insert_err_precision": 0.9726775956284153,
|
| 770 |
+
"eval_unc_insert_err_recall": 0.9866962305986696,
|
| 771 |
+
"eval_weighted_avg_f1": 0.9788498394927975,
|
| 772 |
+
"eval_weighted_avg_number": 23096,
|
| 773 |
+
"eval_weighted_avg_precision": 0.9823457074725067,
|
| 774 |
+
"eval_weighted_avg_recall": 0.9766193280221683,
|
| 775 |
+
"step": 7475
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 14.0,
|
| 779 |
+
"learning_rate": 1.1851851851851852e-05,
|
| 780 |
+
"loss": 0.0164,
|
| 781 |
+
"step": 8050
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 14.0,
|
| 785 |
+
"eval_5_err_f1": 0.21052631578947367,
|
| 786 |
+
"eval_5_err_number": 34,
|
| 787 |
+
"eval_5_err_precision": 1.0,
|
| 788 |
+
"eval_5_err_recall": 0.11764705882352941,
|
| 789 |
+
"eval___f1": 0.9825428859737638,
|
| 790 |
+
"eval___number": 9934,
|
| 791 |
+
"eval___precision": 0.9849281812664374,
|
| 792 |
+
"eval___recall": 0.9801691161667002,
|
| 793 |
+
"eval__err_f1": 0.9261261261261261,
|
| 794 |
+
"eval__err_number": 285,
|
| 795 |
+
"eval__err_precision": 0.9518518518518518,
|
| 796 |
+
"eval__err_recall": 0.9017543859649123,
|
| 797 |
+
"eval_egin_err_f1": 0.9721362229102167,
|
| 798 |
+
"eval_egin_err_number": 1126,
|
| 799 |
+
"eval_egin_err_precision": 0.9682819383259912,
|
| 800 |
+
"eval_egin_err_recall": 0.9760213143872114,
|
| 801 |
+
"eval_el_err_f1": 0.9807762060210373,
|
| 802 |
+
"eval_el_err_number": 1380,
|
| 803 |
+
"eval_el_err_precision": 0.9818445896877269,
|
| 804 |
+
"eval_el_err_recall": 0.9797101449275363,
|
| 805 |
+
"eval_loss": 0.006334466394037008,
|
| 806 |
+
"eval_macro_avg_f1": 0.876297239717871,
|
| 807 |
+
"eval_macro_avg_number": 23096,
|
| 808 |
+
"eval_macro_avg_precision": 0.9777358109471072,
|
| 809 |
+
"eval_macro_avg_recall": 0.8621140989407539,
|
| 810 |
+
"eval_micro_avg_f1": 0.9830074437379284,
|
| 811 |
+
"eval_micro_avg_number": 23096,
|
| 812 |
+
"eval_micro_avg_precision": 0.9854240090501675,
|
| 813 |
+
"eval_micro_avg_recall": 0.9806027017665396,
|
| 814 |
+
"eval_nd_err_f1": 0.9622799664710813,
|
| 815 |
+
"eval_nd_err_number": 1188,
|
| 816 |
+
"eval_nd_err_precision": 0.9582637729549248,
|
| 817 |
+
"eval_nd_err_recall": 0.9663299663299664,
|
| 818 |
+
"eval_ne_word_err_f1": 0.9920388939532057,
|
| 819 |
+
"eval_ne_word_err_number": 8247,
|
| 820 |
+
"eval_ne_word_err_precision": 0.9943957115009746,
|
| 821 |
+
"eval_ne_word_err_recall": 0.9896932217776161,
|
| 822 |
+
"eval_overall_accuracy": 0.9983589658522714,
|
| 823 |
+
"eval_runtime": 11.6047,
|
| 824 |
+
"eval_samples_per_second": 1584.53,
|
| 825 |
+
"eval_steps_per_second": 99.098,
|
| 826 |
+
"eval_unc_insert_err_f1": 0.9839513004980631,
|
| 827 |
+
"eval_unc_insert_err_number": 902,
|
| 828 |
+
"eval_unc_insert_err_precision": 0.9823204419889503,
|
| 829 |
+
"eval_unc_insert_err_recall": 0.9855875831485588,
|
| 830 |
+
"eval_weighted_avg_f1": 0.9825008162842519,
|
| 831 |
+
"eval_weighted_avg_number": 23096,
|
| 832 |
+
"eval_weighted_avg_precision": 0.9854536352829805,
|
| 833 |
+
"eval_weighted_avg_recall": 0.9806027017665396,
|
| 834 |
+
"step": 8050
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 15.0,
|
| 838 |
+
"learning_rate": 1.1111111111111113e-05,
|
| 839 |
+
"loss": 0.014,
|
| 840 |
+
"step": 8625
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 15.0,
|
| 844 |
+
"eval_5_err_f1": 0.45454545454545453,
|
| 845 |
+
"eval_5_err_number": 34,
|
| 846 |
+
"eval_5_err_precision": 1.0,
|
| 847 |
+
"eval_5_err_recall": 0.29411764705882354,
|
| 848 |
+
"eval___f1": 0.9852837415583107,
|
| 849 |
+
"eval___number": 9934,
|
| 850 |
+
"eval___precision": 0.9865765038352846,
|
| 851 |
+
"eval___recall": 0.9839943627944433,
|
| 852 |
+
"eval__err_f1": 0.9288135593220339,
|
| 853 |
+
"eval__err_number": 285,
|
| 854 |
+
"eval__err_precision": 0.898360655737705,
|
| 855 |
+
"eval__err_recall": 0.9614035087719298,
|
| 856 |
+
"eval_egin_err_f1": 0.9774635439681837,
|
| 857 |
+
"eval_egin_err_number": 1126,
|
| 858 |
+
"eval_egin_err_precision": 0.9727352682497801,
|
| 859 |
+
"eval_egin_err_recall": 0.9822380106571936,
|
| 860 |
+
"eval_el_err_f1": 0.9829524845846935,
|
| 861 |
+
"eval_el_err_number": 1380,
|
| 862 |
+
"eval_el_err_precision": 0.9840232389251997,
|
| 863 |
+
"eval_el_err_recall": 0.9818840579710145,
|
| 864 |
+
"eval_loss": 0.0052265021950006485,
|
| 865 |
+
"eval_macro_avg_f1": 0.9105764259707885,
|
| 866 |
+
"eval_macro_avg_number": 23096,
|
| 867 |
+
"eval_macro_avg_precision": 0.9749927361731852,
|
| 868 |
+
"eval_macro_avg_recall": 0.8945651087172118,
|
| 869 |
+
"eval_micro_avg_f1": 0.9858025360355478,
|
| 870 |
+
"eval_micro_avg_number": 23096,
|
| 871 |
+
"eval_micro_avg_precision": 0.9870220061634619,
|
| 872 |
+
"eval_micro_avg_recall": 0.9845860755109109,
|
| 873 |
+
"eval_nd_err_f1": 0.9714285714285714,
|
| 874 |
+
"eval_nd_err_number": 1188,
|
| 875 |
+
"eval_nd_err_precision": 0.9697986577181208,
|
| 876 |
+
"eval_nd_err_recall": 0.9730639730639731,
|
| 877 |
+
"eval_ne_word_err_f1": 0.9930129412479494,
|
| 878 |
+
"eval_ne_word_err_number": 8247,
|
| 879 |
+
"eval_ne_word_err_precision": 0.9951290793960058,
|
| 880 |
+
"eval_ne_word_err_recall": 0.9909057839214259,
|
| 881 |
+
"eval_overall_accuracy": 0.9986137112253844,
|
| 882 |
+
"eval_runtime": 11.5772,
|
| 883 |
+
"eval_samples_per_second": 1588.3,
|
| 884 |
+
"eval_steps_per_second": 99.334,
|
| 885 |
+
"eval_unc_insert_err_f1": 0.991111111111111,
|
| 886 |
+
"eval_unc_insert_err_number": 902,
|
| 887 |
+
"eval_unc_insert_err_precision": 0.9933184855233853,
|
| 888 |
+
"eval_unc_insert_err_recall": 0.9889135254988913,
|
| 889 |
+
"eval_weighted_avg_f1": 0.9855598618500103,
|
| 890 |
+
"eval_weighted_avg_number": 23096,
|
| 891 |
+
"eval_weighted_avg_precision": 0.9871345408226997,
|
| 892 |
+
"eval_weighted_avg_recall": 0.9845860755109109,
|
| 893 |
+
"step": 8625
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 16.0,
|
| 897 |
+
"learning_rate": 1.037037037037037e-05,
|
| 898 |
+
"loss": 0.0123,
|
| 899 |
+
"step": 9200
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 16.0,
|
| 903 |
+
"eval_5_err_f1": 0.6,
|
| 904 |
+
"eval_5_err_number": 34,
|
| 905 |
+
"eval_5_err_precision": 0.9375,
|
| 906 |
+
"eval_5_err_recall": 0.4411764705882353,
|
| 907 |
+
"eval___f1": 0.9873099002920738,
|
| 908 |
+
"eval___number": 9934,
|
| 909 |
+
"eval___precision": 0.987807335751713,
|
| 910 |
+
"eval___recall": 0.9868129655727803,
|
| 911 |
+
"eval__err_f1": 0.9515570934256056,
|
| 912 |
+
"eval__err_number": 285,
|
| 913 |
+
"eval__err_precision": 0.9385665529010239,
|
| 914 |
+
"eval__err_recall": 0.9649122807017544,
|
| 915 |
+
"eval_egin_err_f1": 0.9800973020787261,
|
| 916 |
+
"eval_egin_err_number": 1126,
|
| 917 |
+
"eval_egin_err_precision": 0.9762114537444934,
|
| 918 |
+
"eval_egin_err_recall": 0.9840142095914742,
|
| 919 |
+
"eval_el_err_f1": 0.988056460369164,
|
| 920 |
+
"eval_el_err_number": 1380,
|
| 921 |
+
"eval_el_err_precision": 0.9869848156182213,
|
| 922 |
+
"eval_el_err_recall": 0.9891304347826086,
|
| 923 |
+
"eval_loss": 0.004177143797278404,
|
| 924 |
+
"eval_macro_avg_f1": 0.9331542372543383,
|
| 925 |
+
"eval_macro_avg_number": 23096,
|
| 926 |
+
"eval_macro_avg_precision": 0.9724010687109472,
|
| 927 |
+
"eval_macro_avg_recall": 0.9162982831050877,
|
| 928 |
+
"eval_micro_avg_f1": 0.9880050231671935,
|
| 929 |
+
"eval_micro_avg_number": 23096,
|
| 930 |
+
"eval_micro_avg_precision": 0.9881333910783889,
|
| 931 |
+
"eval_micro_avg_recall": 0.9878766886040873,
|
| 932 |
+
"eval_nd_err_f1": 0.9739714525608731,
|
| 933 |
+
"eval_nd_err_number": 1188,
|
| 934 |
+
"eval_nd_err_precision": 0.9715242881072027,
|
| 935 |
+
"eval_nd_err_recall": 0.9764309764309764,
|
| 936 |
+
"eval_ne_word_err_f1": 0.9941754641427012,
|
| 937 |
+
"eval_ne_word_err_number": 8247,
|
| 938 |
+
"eval_ne_word_err_precision": 0.9948998178506375,
|
| 939 |
+
"eval_ne_word_err_recall": 0.9934521644234267,
|
| 940 |
+
"eval_overall_accuracy": 0.998862532287495,
|
| 941 |
+
"eval_runtime": 12.719,
|
| 942 |
+
"eval_samples_per_second": 1445.712,
|
| 943 |
+
"eval_steps_per_second": 90.416,
|
| 944 |
+
"eval_unc_insert_err_f1": 0.9900662251655629,
|
| 945 |
+
"eval_unc_insert_err_number": 902,
|
| 946 |
+
"eval_unc_insert_err_precision": 0.9857142857142858,
|
| 947 |
+
"eval_unc_insert_err_recall": 0.9944567627494457,
|
| 948 |
+
"eval_weighted_avg_f1": 0.9878645943931573,
|
| 949 |
+
"eval_weighted_avg_number": 23096,
|
| 950 |
+
"eval_weighted_avg_precision": 0.9881244207310185,
|
| 951 |
+
"eval_weighted_avg_recall": 0.9878766886040873,
|
| 952 |
+
"step": 9200
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"epoch": 17.0,
|
| 956 |
+
"learning_rate": 9.62962962962963e-06,
|
| 957 |
+
"loss": 0.0105,
|
| 958 |
+
"step": 9775
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 17.0,
|
| 962 |
+
"eval_5_err_f1": 0.6909090909090908,
|
| 963 |
+
"eval_5_err_number": 34,
|
| 964 |
+
"eval_5_err_precision": 0.9047619047619048,
|
| 965 |
+
"eval_5_err_recall": 0.5588235294117647,
|
| 966 |
+
"eval___f1": 0.9881665743491614,
|
| 967 |
+
"eval___number": 9934,
|
| 968 |
+
"eval___precision": 0.9886146095717884,
|
| 969 |
+
"eval___recall": 0.9877189450372458,
|
| 970 |
+
"eval__err_f1": 0.9619377162629758,
|
| 971 |
+
"eval__err_number": 285,
|
| 972 |
+
"eval__err_precision": 0.9488054607508533,
|
| 973 |
+
"eval__err_recall": 0.9754385964912281,
|
| 974 |
+
"eval_egin_err_f1": 0.983111111111111,
|
| 975 |
+
"eval_egin_err_number": 1126,
|
| 976 |
+
"eval_egin_err_precision": 0.9839857651245552,
|
| 977 |
+
"eval_egin_err_recall": 0.9822380106571936,
|
| 978 |
+
"eval_el_err_f1": 0.9902491874322861,
|
| 979 |
+
"eval_el_err_number": 1380,
|
| 980 |
+
"eval_el_err_precision": 0.9870410367170627,
|
| 981 |
+
"eval_el_err_recall": 0.9934782608695653,
|
| 982 |
+
"eval_loss": 0.0035622185096144676,
|
| 983 |
+
"eval_macro_avg_f1": 0.9477625393802664,
|
| 984 |
+
"eval_macro_avg_number": 23096,
|
| 985 |
+
"eval_macro_avg_precision": 0.9727147980473216,
|
| 986 |
+
"eval_macro_avg_recall": 0.9330802536387749,
|
| 987 |
+
"eval_micro_avg_f1": 0.989477330792881,
|
| 988 |
+
"eval_micro_avg_number": 23096,
|
| 989 |
+
"eval_micro_avg_precision": 0.9896058899956691,
|
| 990 |
+
"eval_micro_avg_recall": 0.9893488049878767,
|
| 991 |
+
"eval_nd_err_f1": 0.9802105263157895,
|
| 992 |
+
"eval_nd_err_number": 1188,
|
| 993 |
+
"eval_nd_err_precision": 0.9806234203875316,
|
| 994 |
+
"eval_nd_err_recall": 0.9797979797979798,
|
| 995 |
+
"eval_ne_word_err_f1": 0.99472631387525,
|
| 996 |
+
"eval_ne_word_err_number": 8247,
|
| 997 |
+
"eval_ne_word_err_precision": 0.9945454545454545,
|
| 998 |
+
"eval_ne_word_err_recall": 0.9949072389959985,
|
| 999 |
+
"eval_overall_accuracy": 0.9990106400625607,
|
| 1000 |
+
"eval_runtime": 11.5897,
|
| 1001 |
+
"eval_samples_per_second": 1586.578,
|
| 1002 |
+
"eval_steps_per_second": 99.226,
|
| 1003 |
+
"eval_unc_insert_err_f1": 0.9927897947864671,
|
| 1004 |
+
"eval_unc_insert_err_number": 902,
|
| 1005 |
+
"eval_unc_insert_err_precision": 0.9933407325194229,
|
| 1006 |
+
"eval_unc_insert_err_recall": 0.9922394678492239,
|
| 1007 |
+
"eval_weighted_avg_f1": 0.9893969219028329,
|
| 1008 |
+
"eval_weighted_avg_number": 23096,
|
| 1009 |
+
"eval_weighted_avg_precision": 0.9895715241838893,
|
| 1010 |
+
"eval_weighted_avg_recall": 0.9893488049878767,
|
| 1011 |
+
"step": 9775
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 18.0,
|
| 1015 |
+
"learning_rate": 8.888888888888888e-06,
|
| 1016 |
+
"loss": 0.0093,
|
| 1017 |
+
"step": 10350
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 18.0,
|
| 1021 |
+
"eval_5_err_f1": 0.7169811320754718,
|
| 1022 |
+
"eval_5_err_number": 34,
|
| 1023 |
+
"eval_5_err_precision": 1.0,
|
| 1024 |
+
"eval_5_err_recall": 0.5588235294117647,
|
| 1025 |
+
"eval___f1": 0.9897851356111308,
|
| 1026 |
+
"eval___number": 9934,
|
| 1027 |
+
"eval___precision": 0.9895361706409096,
|
| 1028 |
+
"eval___recall": 0.9900342258908799,
|
| 1029 |
+
"eval__err_f1": 0.9686411149825784,
|
| 1030 |
+
"eval__err_number": 285,
|
| 1031 |
+
"eval__err_precision": 0.9619377162629758,
|
| 1032 |
+
"eval__err_recall": 0.9754385964912281,
|
| 1033 |
+
"eval_egin_err_f1": 0.984982332155477,
|
| 1034 |
+
"eval_egin_err_number": 1126,
|
| 1035 |
+
"eval_egin_err_precision": 0.9797891036906854,
|
| 1036 |
+
"eval_egin_err_recall": 0.9902309058614565,
|
| 1037 |
+
"eval_el_err_f1": 0.993128390596745,
|
| 1038 |
+
"eval_el_err_number": 1380,
|
| 1039 |
+
"eval_el_err_precision": 0.9913357400722022,
|
| 1040 |
+
"eval_el_err_recall": 0.994927536231884,
|
| 1041 |
+
"eval_loss": 0.003151776734739542,
|
| 1042 |
+
"eval_macro_avg_f1": 0.9528278117999003,
|
| 1043 |
+
"eval_macro_avg_number": 23096,
|
| 1044 |
+
"eval_macro_avg_precision": 0.9858378283192721,
|
| 1045 |
+
"eval_macro_avg_recall": 0.9354523140152433,
|
| 1046 |
+
"eval_micro_avg_f1": 0.9907613751920207,
|
| 1047 |
+
"eval_micro_avg_number": 23096,
|
| 1048 |
+
"eval_micro_avg_precision": 0.9901829347403018,
|
| 1049 |
+
"eval_micro_avg_recall": 0.9913404918600623,
|
| 1050 |
+
"eval_nd_err_f1": 0.981163666806195,
|
| 1051 |
+
"eval_nd_err_number": 1188,
|
| 1052 |
+
"eval_nd_err_precision": 0.9758534554537885,
|
| 1053 |
+
"eval_nd_err_recall": 0.9865319865319865,
|
| 1054 |
+
"eval_ne_word_err_f1": 0.9951509273851376,
|
| 1055 |
+
"eval_ne_word_err_number": 8247,
|
| 1056 |
+
"eval_ne_word_err_precision": 0.9949097079141922,
|
| 1057 |
+
"eval_ne_word_err_recall": 0.9953922638535225,
|
| 1058 |
+
"eval_overall_accuracy": 0.9991054290386028,
|
| 1059 |
+
"eval_runtime": 11.5456,
|
| 1060 |
+
"eval_samples_per_second": 1592.643,
|
| 1061 |
+
"eval_steps_per_second": 99.605,
|
| 1062 |
+
"eval_unc_insert_err_f1": 0.9927897947864671,
|
| 1063 |
+
"eval_unc_insert_err_number": 902,
|
| 1064 |
+
"eval_unc_insert_err_precision": 0.9933407325194229,
|
| 1065 |
+
"eval_unc_insert_err_recall": 0.9922394678492239,
|
| 1066 |
+
"eval_weighted_avg_f1": 0.9906781013015472,
|
| 1067 |
+
"eval_weighted_avg_number": 23096,
|
| 1068 |
+
"eval_weighted_avg_precision": 0.9902068768322245,
|
| 1069 |
+
"eval_weighted_avg_recall": 0.9913404918600623,
|
| 1070 |
+
"step": 10350
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 19.0,
|
| 1074 |
+
"learning_rate": 8.148148148148148e-06,
|
| 1075 |
+
"loss": 0.0077,
|
| 1076 |
+
"step": 10925
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 19.0,
|
| 1080 |
+
"eval_5_err_f1": 0.8135593220338982,
|
| 1081 |
+
"eval_5_err_number": 34,
|
| 1082 |
+
"eval_5_err_precision": 0.96,
|
| 1083 |
+
"eval_5_err_recall": 0.7058823529411765,
|
| 1084 |
+
"eval___f1": 0.9900820621255602,
|
| 1085 |
+
"eval___number": 9934,
|
| 1086 |
+
"eval___precision": 0.9903313526034847,
|
| 1087 |
+
"eval___recall": 0.9898328971209986,
|
| 1088 |
+
"eval__err_f1": 0.9705372616984402,
|
| 1089 |
+
"eval__err_number": 285,
|
| 1090 |
+
"eval__err_precision": 0.958904109589041,
|
| 1091 |
+
"eval__err_recall": 0.9824561403508771,
|
| 1092 |
+
"eval_egin_err_f1": 0.9897913892587662,
|
| 1093 |
+
"eval_egin_err_number": 1126,
|
| 1094 |
+
"eval_egin_err_precision": 0.9893522626441881,
|
| 1095 |
+
"eval_egin_err_recall": 0.9902309058614565,
|
| 1096 |
+
"eval_el_err_f1": 0.9934829833454019,
|
| 1097 |
+
"eval_el_err_number": 1380,
|
| 1098 |
+
"eval_el_err_precision": 0.9927641099855282,
|
| 1099 |
+
"eval_el_err_recall": 0.9942028985507246,
|
| 1100 |
+
"eval_loss": 0.0027081461157649755,
|
| 1101 |
+
"eval_macro_avg_f1": 0.9666657167263342,
|
| 1102 |
+
"eval_macro_avg_number": 23096,
|
| 1103 |
+
"eval_macro_avg_precision": 0.9826479575258772,
|
| 1104 |
+
"eval_macro_avg_recall": 0.9555704329460621,
|
| 1105 |
+
"eval_micro_avg_f1": 0.9915788106423051,
|
| 1106 |
+
"eval_micro_avg_number": 23096,
|
| 1107 |
+
"eval_micro_avg_precision": 0.9915573451097545,
|
| 1108 |
+
"eval_micro_avg_recall": 0.9916002771042605,
|
| 1109 |
+
"eval_nd_err_f1": 0.9874161073825503,
|
| 1110 |
+
"eval_nd_err_number": 1188,
|
| 1111 |
+
"eval_nd_err_precision": 0.9841137123745819,
|
| 1112 |
+
"eval_nd_err_recall": 0.9907407407407407,
|
| 1113 |
+
"eval_ne_word_err_f1": 0.9950864422202002,
|
| 1114 |
+
"eval_ne_word_err_number": 8247,
|
| 1115 |
+
"eval_ne_word_err_precision": 0.9956300072833212,
|
| 1116 |
+
"eval_ne_word_err_recall": 0.9945434703528556,
|
| 1117 |
+
"eval_overall_accuracy": 0.9992179909476527,
|
| 1118 |
+
"eval_runtime": 11.6822,
|
| 1119 |
+
"eval_samples_per_second": 1574.022,
|
| 1120 |
+
"eval_steps_per_second": 98.441,
|
| 1121 |
+
"eval_unc_insert_err_f1": 0.9933701657458565,
|
| 1122 |
+
"eval_unc_insert_err_number": 902,
|
| 1123 |
+
"eval_unc_insert_err_precision": 0.9900881057268722,
|
| 1124 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 1125 |
+
"eval_weighted_avg_f1": 0.9915482800949849,
|
| 1126 |
+
"eval_weighted_avg_number": 23096,
|
| 1127 |
+
"eval_weighted_avg_precision": 0.9915592171477948,
|
| 1128 |
+
"eval_weighted_avg_recall": 0.9916002771042605,
|
| 1129 |
+
"step": 10925
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 20.0,
|
| 1133 |
+
"learning_rate": 7.4074074074074075e-06,
|
| 1134 |
+
"loss": 0.0072,
|
| 1135 |
+
"step": 11500
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 20.0,
|
| 1139 |
+
"eval_5_err_f1": 0.8474576271186441,
|
| 1140 |
+
"eval_5_err_number": 34,
|
| 1141 |
+
"eval_5_err_precision": 1.0,
|
| 1142 |
+
"eval_5_err_recall": 0.7352941176470589,
|
| 1143 |
+
"eval___f1": 0.9909347300564061,
|
| 1144 |
+
"eval___number": 9934,
|
| 1145 |
+
"eval___precision": 0.9915339649264261,
|
| 1146 |
+
"eval___recall": 0.9903362190457017,
|
| 1147 |
+
"eval__err_f1": 0.9738219895287958,
|
| 1148 |
+
"eval__err_number": 285,
|
| 1149 |
+
"eval__err_precision": 0.96875,
|
| 1150 |
+
"eval__err_recall": 0.9789473684210527,
|
| 1151 |
+
"eval_egin_err_f1": 0.9871738168951791,
|
| 1152 |
+
"eval_egin_err_number": 1126,
|
| 1153 |
+
"eval_egin_err_precision": 0.9832599118942731,
|
| 1154 |
+
"eval_egin_err_recall": 0.9911190053285968,
|
| 1155 |
+
"eval_el_err_f1": 0.9942154736080984,
|
| 1156 |
+
"eval_el_err_number": 1380,
|
| 1157 |
+
"eval_el_err_precision": 0.9920634920634921,
|
| 1158 |
+
"eval_el_err_recall": 0.9963768115942029,
|
| 1159 |
+
"eval_loss": 0.0023903592955321074,
|
| 1160 |
+
"eval_macro_avg_f1": 0.97173084894704,
|
| 1161 |
+
"eval_macro_avg_number": 23096,
|
| 1162 |
+
"eval_macro_avg_precision": 0.9894635604667124,
|
| 1163 |
+
"eval_macro_avg_recall": 0.9590607777684785,
|
| 1164 |
+
"eval_micro_avg_f1": 0.9922698828573284,
|
| 1165 |
+
"eval_micro_avg_number": 23096,
|
| 1166 |
+
"eval_micro_avg_precision": 0.9924632910295837,
|
| 1167 |
+
"eval_micro_avg_recall": 0.992076550051957,
|
| 1168 |
+
"eval_nd_err_f1": 0.9903483004616032,
|
| 1169 |
+
"eval_nd_err_number": 1188,
|
| 1170 |
+
"eval_nd_err_precision": 0.9874476987447699,
|
| 1171 |
+
"eval_nd_err_recall": 0.9932659932659933,
|
| 1172 |
+
"eval_ne_word_err_f1": 0.9954504094631482,
|
| 1173 |
+
"eval_ne_word_err_number": 8247,
|
| 1174 |
+
"eval_ne_word_err_precision": 0.9959941733430444,
|
| 1175 |
+
"eval_ne_word_err_recall": 0.9949072389959985,
|
| 1176 |
+
"eval_overall_accuracy": 0.9992594611246712,
|
| 1177 |
+
"eval_runtime": 11.3322,
|
| 1178 |
+
"eval_samples_per_second": 1622.634,
|
| 1179 |
+
"eval_steps_per_second": 101.481,
|
| 1180 |
+
"eval_unc_insert_err_f1": 0.9944444444444444,
|
| 1181 |
+
"eval_unc_insert_err_number": 902,
|
| 1182 |
+
"eval_unc_insert_err_precision": 0.9966592427616926,
|
| 1183 |
+
"eval_unc_insert_err_recall": 0.9922394678492239,
|
| 1184 |
+
"eval_weighted_avg_f1": 0.9922443584517268,
|
| 1185 |
+
"eval_weighted_avg_number": 23096,
|
| 1186 |
+
"eval_weighted_avg_precision": 0.9924761382083309,
|
| 1187 |
+
"eval_weighted_avg_recall": 0.992076550051957,
|
| 1188 |
+
"step": 11500
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 21.0,
|
| 1192 |
+
"learning_rate": 6.666666666666667e-06,
|
| 1193 |
+
"loss": 0.0065,
|
| 1194 |
+
"step": 12075
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 21.0,
|
| 1198 |
+
"eval_5_err_f1": 0.9206349206349206,
|
| 1199 |
+
"eval_5_err_number": 34,
|
| 1200 |
+
"eval_5_err_precision": 1.0,
|
| 1201 |
+
"eval_5_err_recall": 0.8529411764705882,
|
| 1202 |
+
"eval___f1": 0.9908903316724545,
|
| 1203 |
+
"eval___number": 9934,
|
| 1204 |
+
"eval___precision": 0.9908404630095622,
|
| 1205 |
+
"eval___recall": 0.9909402053553453,
|
| 1206 |
+
"eval__err_f1": 0.979020979020979,
|
| 1207 |
+
"eval__err_number": 285,
|
| 1208 |
+
"eval__err_precision": 0.975609756097561,
|
| 1209 |
+
"eval__err_recall": 0.9824561403508771,
|
| 1210 |
+
"eval_egin_err_f1": 0.9907038512616202,
|
| 1211 |
+
"eval_egin_err_number": 1126,
|
| 1212 |
+
"eval_egin_err_precision": 0.9876434245366285,
|
| 1213 |
+
"eval_egin_err_recall": 0.9937833037300178,
|
| 1214 |
+
"eval_el_err_f1": 0.9934876989869754,
|
| 1215 |
+
"eval_el_err_number": 1380,
|
| 1216 |
+
"eval_el_err_precision": 0.9920520231213873,
|
| 1217 |
+
"eval_el_err_recall": 0.994927536231884,
|
| 1218 |
+
"eval_loss": 0.002177101792767644,
|
| 1219 |
+
"eval_macro_avg_f1": 0.981866119540616,
|
| 1220 |
+
"eval_macro_avg_number": 23096,
|
| 1221 |
+
"eval_macro_avg_precision": 0.9905676481148733,
|
| 1222 |
+
"eval_macro_avg_recall": 0.9746318418196954,
|
| 1223 |
+
"eval_micro_avg_f1": 0.9925117950049778,
|
| 1224 |
+
"eval_micro_avg_number": 23096,
|
| 1225 |
+
"eval_micro_avg_precision": 0.9922111639982691,
|
| 1226 |
+
"eval_micro_avg_recall": 0.9928126082438518,
|
| 1227 |
+
"eval_nd_err_f1": 0.9903483004616032,
|
| 1228 |
+
"eval_nd_err_number": 1188,
|
| 1229 |
+
"eval_nd_err_precision": 0.9874476987447699,
|
| 1230 |
+
"eval_nd_err_recall": 0.9932659932659933,
|
| 1231 |
+
"eval_ne_word_err_f1": 0.9953922638535225,
|
| 1232 |
+
"eval_ne_word_err_number": 8247,
|
| 1233 |
+
"eval_ne_word_err_precision": 0.9953922638535225,
|
| 1234 |
+
"eval_ne_word_err_recall": 0.9953922638535225,
|
| 1235 |
+
"eval_overall_accuracy": 0.999295006990687,
|
| 1236 |
+
"eval_runtime": 11.5781,
|
| 1237 |
+
"eval_samples_per_second": 1588.177,
|
| 1238 |
+
"eval_steps_per_second": 99.326,
|
| 1239 |
+
"eval_unc_insert_err_f1": 0.9944506104328523,
|
| 1240 |
+
"eval_unc_insert_err_number": 902,
|
| 1241 |
+
"eval_unc_insert_err_precision": 0.9955555555555555,
|
| 1242 |
+
"eval_unc_insert_err_recall": 0.9933481152993349,
|
| 1243 |
+
"eval_weighted_avg_f1": 0.9925052352718289,
|
| 1244 |
+
"eval_weighted_avg_number": 23096,
|
| 1245 |
+
"eval_weighted_avg_precision": 0.9922174924307435,
|
| 1246 |
+
"eval_weighted_avg_recall": 0.9928126082438518,
|
| 1247 |
+
"step": 12075
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 22.0,
|
| 1251 |
+
"learning_rate": 5.925925925925926e-06,
|
| 1252 |
+
"loss": 0.0056,
|
| 1253 |
+
"step": 12650
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 22.0,
|
| 1257 |
+
"eval_5_err_f1": 0.9032258064516129,
|
| 1258 |
+
"eval_5_err_number": 34,
|
| 1259 |
+
"eval_5_err_precision": 1.0,
|
| 1260 |
+
"eval_5_err_recall": 0.8235294117647058,
|
| 1261 |
+
"eval___f1": 0.9906862004732417,
|
| 1262 |
+
"eval___number": 9934,
|
| 1263 |
+
"eval___precision": 0.990935643065767,
|
| 1264 |
+
"eval___recall": 0.9904368834306423,
|
| 1265 |
+
"eval__err_f1": 0.9791666666666666,
|
| 1266 |
+
"eval__err_number": 285,
|
| 1267 |
+
"eval__err_precision": 0.9690721649484536,
|
| 1268 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1269 |
+
"eval_egin_err_f1": 0.9915817456801064,
|
| 1270 |
+
"eval_egin_err_number": 1126,
|
| 1271 |
+
"eval_egin_err_precision": 0.9893899204244032,
|
| 1272 |
+
"eval_egin_err_recall": 0.9937833037300178,
|
| 1273 |
+
"eval_el_err_f1": 0.9942154736080984,
|
| 1274 |
+
"eval_el_err_number": 1380,
|
| 1275 |
+
"eval_el_err_precision": 0.9920634920634921,
|
| 1276 |
+
"eval_el_err_recall": 0.9963768115942029,
|
| 1277 |
+
"eval_loss": 0.0019981798250228167,
|
| 1278 |
+
"eval_macro_avg_f1": 0.9798494009715082,
|
| 1279 |
+
"eval_macro_avg_number": 23096,
|
| 1280 |
+
"eval_macro_avg_precision": 0.9901473342025248,
|
| 1281 |
+
"eval_macro_avg_recall": 0.9717161526744847,
|
| 1282 |
+
"eval_micro_avg_f1": 0.9925730247060607,
|
| 1283 |
+
"eval_micro_avg_number": 23096,
|
| 1284 |
+
"eval_micro_avg_precision": 0.9927664919651752,
|
| 1285 |
+
"eval_micro_avg_recall": 0.9923796328368548,
|
| 1286 |
+
"eval_nd_err_f1": 0.9903157894736843,
|
| 1287 |
+
"eval_nd_err_number": 1188,
|
| 1288 |
+
"eval_nd_err_precision": 0.9907329401853412,
|
| 1289 |
+
"eval_nd_err_recall": 0.98989898989899,
|
| 1290 |
+
"eval_ne_word_err_f1": 0.9956909631607697,
|
| 1291 |
+
"eval_ne_word_err_number": 8247,
|
| 1292 |
+
"eval_ne_word_err_precision": 0.996719319562576,
|
| 1293 |
+
"eval_ne_word_err_recall": 0.9946647265672366,
|
| 1294 |
+
"eval_overall_accuracy": 0.9993127799236948,
|
| 1295 |
+
"eval_runtime": 11.7025,
|
| 1296 |
+
"eval_samples_per_second": 1571.285,
|
| 1297 |
+
"eval_steps_per_second": 98.269,
|
| 1298 |
+
"eval_unc_insert_err_f1": 0.9939125622578859,
|
| 1299 |
+
"eval_unc_insert_err_number": 902,
|
| 1300 |
+
"eval_unc_insert_err_precision": 0.9922651933701657,
|
| 1301 |
+
"eval_unc_insert_err_recall": 0.9955654101995566,
|
| 1302 |
+
"eval_weighted_avg_f1": 0.9925638618970269,
|
| 1303 |
+
"eval_weighted_avg_number": 23096,
|
| 1304 |
+
"eval_weighted_avg_precision": 0.9927779303976348,
|
| 1305 |
+
"eval_weighted_avg_recall": 0.9923796328368548,
|
| 1306 |
+
"step": 12650
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 23.0,
|
| 1310 |
+
"learning_rate": 5.185185185185185e-06,
|
| 1311 |
+
"loss": 0.005,
|
| 1312 |
+
"step": 13225
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 23.0,
|
| 1316 |
+
"eval_5_err_f1": 0.9375,
|
| 1317 |
+
"eval_5_err_number": 34,
|
| 1318 |
+
"eval_5_err_precision": 1.0,
|
| 1319 |
+
"eval_5_err_recall": 0.8823529411764706,
|
| 1320 |
+
"eval___f1": 0.9914409425032725,
|
| 1321 |
+
"eval___number": 9934,
|
| 1322 |
+
"eval___precision": 0.99174053182917,
|
| 1323 |
+
"eval___recall": 0.9911415341252265,
|
| 1324 |
+
"eval__err_f1": 0.9791666666666666,
|
| 1325 |
+
"eval__err_number": 285,
|
| 1326 |
+
"eval__err_precision": 0.9690721649484536,
|
| 1327 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1328 |
+
"eval_egin_err_f1": 0.9924745462594068,
|
| 1329 |
+
"eval_egin_err_number": 1126,
|
| 1330 |
+
"eval_egin_err_precision": 0.9894086496028244,
|
| 1331 |
+
"eval_egin_err_recall": 0.9955595026642984,
|
| 1332 |
+
"eval_el_err_f1": 0.9945828819068254,
|
| 1333 |
+
"eval_el_err_number": 1380,
|
| 1334 |
+
"eval_el_err_precision": 0.9913606911447084,
|
| 1335 |
+
"eval_el_err_recall": 0.9978260869565218,
|
| 1336 |
+
"eval_loss": 0.0018450135830789804,
|
| 1337 |
+
"eval_macro_avg_f1": 0.9846004015975137,
|
| 1338 |
+
"eval_macro_avg_number": 23096,
|
| 1339 |
+
"eval_macro_avg_precision": 0.9903043479501087,
|
| 1340 |
+
"eval_macro_avg_recall": 0.9798487500093644,
|
| 1341 |
+
"eval_micro_avg_f1": 0.9931357051601308,
|
| 1342 |
+
"eval_micro_avg_number": 23096,
|
| 1343 |
+
"eval_micro_avg_precision": 0.9933723196881091,
|
| 1344 |
+
"eval_micro_avg_recall": 0.9928992033252512,
|
| 1345 |
+
"eval_nd_err_f1": 0.9907485281749369,
|
| 1346 |
+
"eval_nd_err_number": 1188,
|
| 1347 |
+
"eval_nd_err_precision": 0.9899159663865547,
|
| 1348 |
+
"eval_nd_err_recall": 0.9915824915824916,
|
| 1349 |
+
"eval_ne_word_err_f1": 0.9958702781489128,
|
| 1350 |
+
"eval_ne_word_err_number": 8247,
|
| 1351 |
+
"eval_ne_word_err_precision": 0.9975666139433021,
|
| 1352 |
+
"eval_ne_word_err_recall": 0.9941797017097126,
|
| 1353 |
+
"eval_overall_accuracy": 0.9993601744117159,
|
| 1354 |
+
"eval_runtime": 11.5685,
|
| 1355 |
+
"eval_samples_per_second": 1589.49,
|
| 1356 |
+
"eval_steps_per_second": 99.408,
|
| 1357 |
+
"eval_unc_insert_err_f1": 0.9950193691200886,
|
| 1358 |
+
"eval_unc_insert_err_number": 902,
|
| 1359 |
+
"eval_unc_insert_err_precision": 0.9933701657458563,
|
| 1360 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 1361 |
+
"eval_weighted_avg_f1": 0.9931339385720146,
|
| 1362 |
+
"eval_weighted_avg_number": 23096,
|
| 1363 |
+
"eval_weighted_avg_precision": 0.9933867261081645,
|
| 1364 |
+
"eval_weighted_avg_recall": 0.9928992033252512,
|
| 1365 |
+
"step": 13225
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 24.0,
|
| 1369 |
+
"learning_rate": 4.444444444444444e-06,
|
| 1370 |
+
"loss": 0.0044,
|
| 1371 |
+
"step": 13800
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 24.0,
|
| 1375 |
+
"eval_5_err_f1": 0.9538461538461539,
|
| 1376 |
+
"eval_5_err_number": 34,
|
| 1377 |
+
"eval_5_err_precision": 1.0,
|
| 1378 |
+
"eval_5_err_recall": 0.9117647058823529,
|
| 1379 |
+
"eval___f1": 0.9912947214814068,
|
| 1380 |
+
"eval___number": 9934,
|
| 1381 |
+
"eval___precision": 0.9910453767984707,
|
| 1382 |
+
"eval___recall": 0.991544191664989,
|
| 1383 |
+
"eval__err_f1": 0.9807355516637477,
|
| 1384 |
+
"eval__err_number": 285,
|
| 1385 |
+
"eval__err_precision": 0.9790209790209791,
|
| 1386 |
+
"eval__err_recall": 0.9824561403508771,
|
| 1387 |
+
"eval_egin_err_f1": 0.9924745462594068,
|
| 1388 |
+
"eval_egin_err_number": 1126,
|
| 1389 |
+
"eval_egin_err_precision": 0.9894086496028244,
|
| 1390 |
+
"eval_egin_err_recall": 0.9955595026642984,
|
| 1391 |
+
"eval_el_err_f1": 0.9953051643192489,
|
| 1392 |
+
"eval_el_err_number": 1380,
|
| 1393 |
+
"eval_el_err_precision": 0.9920806335493161,
|
| 1394 |
+
"eval_el_err_recall": 0.9985507246376811,
|
| 1395 |
+
"eval_loss": 0.0016574990004301071,
|
| 1396 |
+
"eval_macro_avg_f1": 0.9870548052559327,
|
| 1397 |
+
"eval_macro_avg_number": 23096,
|
| 1398 |
+
"eval_macro_avg_precision": 0.9915974009252017,
|
| 1399 |
+
"eval_macro_avg_recall": 0.9830275235917065,
|
| 1400 |
+
"eval_micro_avg_f1": 0.9931834411720154,
|
| 1401 |
+
"eval_micro_avg_number": 23096,
|
| 1402 |
+
"eval_micro_avg_precision": 0.9927752541639628,
|
| 1403 |
+
"eval_micro_avg_recall": 0.9935919639764461,
|
| 1404 |
+
"eval_nd_err_f1": 0.9920134510298445,
|
| 1405 |
+
"eval_nd_err_number": 1188,
|
| 1406 |
+
"eval_nd_err_precision": 0.9907640638119227,
|
| 1407 |
+
"eval_nd_err_recall": 0.9932659932659933,
|
| 1408 |
+
"eval_ne_word_err_f1": 0.9957550030321406,
|
| 1409 |
+
"eval_ne_word_err_number": 8247,
|
| 1410 |
+
"eval_ne_word_err_precision": 0.9959966031784544,
|
| 1411 |
+
"eval_ne_word_err_recall": 0.9955135200679035,
|
| 1412 |
+
"eval_overall_accuracy": 0.9993720230337212,
|
| 1413 |
+
"eval_runtime": 11.5823,
|
| 1414 |
+
"eval_samples_per_second": 1587.59,
|
| 1415 |
+
"eval_steps_per_second": 99.289,
|
| 1416 |
+
"eval_unc_insert_err_f1": 0.9950138504155125,
|
| 1417 |
+
"eval_unc_insert_err_number": 902,
|
| 1418 |
+
"eval_unc_insert_err_precision": 0.9944629014396457,
|
| 1419 |
+
"eval_unc_insert_err_recall": 0.9955654101995566,
|
| 1420 |
+
"eval_weighted_avg_f1": 0.9931813133618028,
|
| 1421 |
+
"eval_weighted_avg_number": 23096,
|
| 1422 |
+
"eval_weighted_avg_precision": 0.9927791997405465,
|
| 1423 |
+
"eval_weighted_avg_recall": 0.9935919639764461,
|
| 1424 |
+
"step": 13800
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 25.0,
|
| 1428 |
+
"learning_rate": 3.7037037037037037e-06,
|
| 1429 |
+
"loss": 0.0042,
|
| 1430 |
+
"step": 14375
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 25.0,
|
| 1434 |
+
"eval_5_err_f1": 0.9538461538461539,
|
| 1435 |
+
"eval_5_err_number": 34,
|
| 1436 |
+
"eval_5_err_precision": 1.0,
|
| 1437 |
+
"eval_5_err_recall": 0.9117647058823529,
|
| 1438 |
+
"eval___f1": 0.9912404349577124,
|
| 1439 |
+
"eval___number": 9934,
|
| 1440 |
+
"eval___precision": 0.9914400805639476,
|
| 1441 |
+
"eval___recall": 0.9910408697402859,
|
| 1442 |
+
"eval__err_f1": 0.9792387543252596,
|
| 1443 |
+
"eval__err_number": 285,
|
| 1444 |
+
"eval__err_precision": 0.9658703071672355,
|
| 1445 |
+
"eval__err_recall": 0.9929824561403509,
|
| 1446 |
+
"eval_egin_err_f1": 0.9920141969831411,
|
| 1447 |
+
"eval_egin_err_number": 1126,
|
| 1448 |
+
"eval_egin_err_precision": 0.9911347517730497,
|
| 1449 |
+
"eval_egin_err_recall": 0.9928952042628775,
|
| 1450 |
+
"eval_el_err_f1": 0.9956521739130435,
|
| 1451 |
+
"eval_el_err_number": 1380,
|
| 1452 |
+
"eval_el_err_precision": 0.9956521739130435,
|
| 1453 |
+
"eval_el_err_recall": 0.9956521739130435,
|
| 1454 |
+
"eval_loss": 0.0016160767991095781,
|
| 1455 |
+
"eval_macro_avg_f1": 0.9869810337461777,
|
| 1456 |
+
"eval_macro_avg_number": 23096,
|
| 1457 |
+
"eval_macro_avg_precision": 0.9912198213891408,
|
| 1458 |
+
"eval_macro_avg_recall": 0.9832988188396197,
|
| 1459 |
+
"eval_micro_avg_f1": 0.9932217337635619,
|
| 1460 |
+
"eval_micro_avg_number": 23096,
|
| 1461 |
+
"eval_micro_avg_precision": 0.993544473809627,
|
| 1462 |
+
"eval_micro_avg_recall": 0.9928992033252512,
|
| 1463 |
+
"eval_nd_err_f1": 0.9924178601516429,
|
| 1464 |
+
"eval_nd_err_number": 1188,
|
| 1465 |
+
"eval_nd_err_precision": 0.9932546374367622,
|
| 1466 |
+
"eval_nd_err_recall": 0.9915824915824916,
|
| 1467 |
+
"eval_ne_word_err_f1": 0.9958732855929119,
|
| 1468 |
+
"eval_ne_word_err_number": 8247,
|
| 1469 |
+
"eval_ne_word_err_precision": 0.9968412100595311,
|
| 1470 |
+
"eval_ne_word_err_recall": 0.9949072389959985,
|
| 1471 |
+
"eval_overall_accuracy": 0.9993720230337212,
|
| 1472 |
+
"eval_runtime": 11.6443,
|
| 1473 |
+
"eval_samples_per_second": 1579.141,
|
| 1474 |
+
"eval_steps_per_second": 98.761,
|
| 1475 |
+
"eval_unc_insert_err_f1": 0.9955654101995566,
|
| 1476 |
+
"eval_unc_insert_err_number": 902,
|
| 1477 |
+
"eval_unc_insert_err_precision": 0.9955654101995566,
|
| 1478 |
+
"eval_unc_insert_err_recall": 0.9955654101995566,
|
| 1479 |
+
"eval_weighted_avg_f1": 0.9932223625316633,
|
| 1480 |
+
"eval_weighted_avg_number": 23096,
|
| 1481 |
+
"eval_weighted_avg_precision": 0.993557001082317,
|
| 1482 |
+
"eval_weighted_avg_recall": 0.9928992033252512,
|
| 1483 |
+
"step": 14375
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 26.0,
|
| 1487 |
+
"learning_rate": 2.962962962962963e-06,
|
| 1488 |
+
"loss": 0.0037,
|
| 1489 |
+
"step": 14950
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 26.0,
|
| 1493 |
+
"eval_5_err_f1": 0.9696969696969697,
|
| 1494 |
+
"eval_5_err_number": 34,
|
| 1495 |
+
"eval_5_err_precision": 1.0,
|
| 1496 |
+
"eval_5_err_recall": 0.9411764705882353,
|
| 1497 |
+
"eval___f1": 0.9912990997334405,
|
| 1498 |
+
"eval___number": 9934,
|
| 1499 |
+
"eval___precision": 0.9905518142526887,
|
| 1500 |
+
"eval___recall": 0.992047513589692,
|
| 1501 |
+
"eval__err_f1": 0.9808695652173912,
|
| 1502 |
+
"eval__err_number": 285,
|
| 1503 |
+
"eval__err_precision": 0.9724137931034482,
|
| 1504 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1505 |
+
"eval_egin_err_f1": 0.9924678777137793,
|
| 1506 |
+
"eval_egin_err_number": 1126,
|
| 1507 |
+
"eval_egin_err_precision": 0.9902740937223696,
|
| 1508 |
+
"eval_egin_err_recall": 0.9946714031971581,
|
| 1509 |
+
"eval_el_err_f1": 0.9956616052060738,
|
| 1510 |
+
"eval_el_err_number": 1380,
|
| 1511 |
+
"eval_el_err_precision": 0.9935064935064936,
|
| 1512 |
+
"eval_el_err_recall": 0.9978260869565218,
|
| 1513 |
+
"eval_loss": 0.0014384619425982237,
|
| 1514 |
+
"eval_macro_avg_f1": 0.9891194437273718,
|
| 1515 |
+
"eval_macro_avg_number": 23096,
|
| 1516 |
+
"eval_macro_avg_precision": 0.9911404335392073,
|
| 1517 |
+
"eval_macro_avg_recall": 0.9873442677814935,
|
| 1518 |
+
"eval_micro_avg_f1": 0.9932499675479209,
|
| 1519 |
+
"eval_micro_avg_number": 23096,
|
| 1520 |
+
"eval_micro_avg_precision": 0.992605725157831,
|
| 1521 |
+
"eval_micro_avg_recall": 0.993895046761344,
|
| 1522 |
+
"eval_nd_err_f1": 0.9915682967959528,
|
| 1523 |
+
"eval_nd_err_number": 1188,
|
| 1524 |
+
"eval_nd_err_precision": 0.9932432432432432,
|
| 1525 |
+
"eval_nd_err_recall": 0.98989898989899,
|
| 1526 |
+
"eval_ne_word_err_f1": 0.9958169142164293,
|
| 1527 |
+
"eval_ne_word_err_number": 8247,
|
| 1528 |
+
"eval_ne_word_err_precision": 0.9957565470417071,
|
| 1529 |
+
"eval_ne_word_err_recall": 0.9958772887110464,
|
| 1530 |
+
"eval_overall_accuracy": 0.9993779473447238,
|
| 1531 |
+
"eval_runtime": 11.6017,
|
| 1532 |
+
"eval_samples_per_second": 1584.944,
|
| 1533 |
+
"eval_steps_per_second": 99.124,
|
| 1534 |
+
"eval_unc_insert_err_f1": 0.995575221238938,
|
| 1535 |
+
"eval_unc_insert_err_number": 902,
|
| 1536 |
+
"eval_unc_insert_err_precision": 0.9933774834437086,
|
| 1537 |
+
"eval_unc_insert_err_recall": 0.9977827050997783,
|
| 1538 |
+
"eval_weighted_avg_f1": 0.9932502902231016,
|
| 1539 |
+
"eval_weighted_avg_number": 23096,
|
| 1540 |
+
"eval_weighted_avg_precision": 0.9926121818013163,
|
| 1541 |
+
"eval_weighted_avg_recall": 0.993895046761344,
|
| 1542 |
+
"step": 14950
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 27.0,
|
| 1546 |
+
"learning_rate": 2.222222222222222e-06,
|
| 1547 |
+
"loss": 0.0034,
|
| 1548 |
+
"step": 15525
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 27.0,
|
| 1552 |
+
"eval_5_err_f1": 0.9696969696969697,
|
| 1553 |
+
"eval_5_err_number": 34,
|
| 1554 |
+
"eval_5_err_precision": 1.0,
|
| 1555 |
+
"eval_5_err_recall": 0.9411764705882353,
|
| 1556 |
+
"eval___f1": 0.9911379657603223,
|
| 1557 |
+
"eval___number": 9934,
|
| 1558 |
+
"eval___precision": 0.9915373765867419,
|
| 1559 |
+
"eval___recall": 0.9907388765854641,
|
| 1560 |
+
"eval__err_f1": 0.9808695652173912,
|
| 1561 |
+
"eval__err_number": 285,
|
| 1562 |
+
"eval__err_precision": 0.9724137931034482,
|
| 1563 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1564 |
+
"eval_egin_err_f1": 0.9924611973392462,
|
| 1565 |
+
"eval_egin_err_number": 1126,
|
| 1566 |
+
"eval_egin_err_precision": 0.9911426040744021,
|
| 1567 |
+
"eval_egin_err_recall": 0.9937833037300178,
|
| 1568 |
+
"eval_el_err_f1": 0.9956521739130435,
|
| 1569 |
+
"eval_el_err_number": 1380,
|
| 1570 |
+
"eval_el_err_precision": 0.9956521739130435,
|
| 1571 |
+
"eval_el_err_recall": 0.9956521739130435,
|
| 1572 |
+
"eval_loss": 0.0014439761871472,
|
| 1573 |
+
"eval_macro_avg_f1": 0.9890904534081543,
|
| 1574 |
+
"eval_macro_avg_number": 23096,
|
| 1575 |
+
"eval_macro_avg_precision": 0.9916594889334467,
|
| 1576 |
+
"eval_macro_avg_recall": 0.9867636941837281,
|
| 1577 |
+
"eval_micro_avg_f1": 0.9931572109138155,
|
| 1578 |
+
"eval_micro_avg_number": 23096,
|
| 1579 |
+
"eval_micro_avg_precision": 0.993415352625195,
|
| 1580 |
+
"eval_micro_avg_recall": 0.9928992033252512,
|
| 1581 |
+
"eval_nd_err_f1": 0.9915824915824916,
|
| 1582 |
+
"eval_nd_err_number": 1188,
|
| 1583 |
+
"eval_nd_err_precision": 0.9915824915824916,
|
| 1584 |
+
"eval_nd_err_recall": 0.9915824915824916,
|
| 1585 |
+
"eval_ne_word_err_f1": 0.9957529426040529,
|
| 1586 |
+
"eval_ne_word_err_number": 8247,
|
| 1587 |
+
"eval_ne_word_err_precision": 0.9964784456587735,
|
| 1588 |
+
"eval_ne_word_err_recall": 0.9950284952103795,
|
| 1589 |
+
"eval_overall_accuracy": 0.9993720230337212,
|
| 1590 |
+
"eval_runtime": 11.6586,
|
| 1591 |
+
"eval_samples_per_second": 1577.202,
|
| 1592 |
+
"eval_steps_per_second": 98.639,
|
| 1593 |
+
"eval_unc_insert_err_f1": 0.9955703211517165,
|
| 1594 |
+
"eval_unc_insert_err_number": 902,
|
| 1595 |
+
"eval_unc_insert_err_precision": 0.9944690265486725,
|
| 1596 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 1597 |
+
"eval_weighted_avg_f1": 0.9931577905463351,
|
| 1598 |
+
"eval_weighted_avg_number": 23096,
|
| 1599 |
+
"eval_weighted_avg_precision": 0.9934216143717426,
|
| 1600 |
+
"eval_weighted_avg_recall": 0.9928992033252512,
|
| 1601 |
+
"step": 15525
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 28.0,
|
| 1605 |
+
"learning_rate": 1.4814814814814815e-06,
|
| 1606 |
+
"loss": 0.0034,
|
| 1607 |
+
"step": 16100
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 28.0,
|
| 1611 |
+
"eval_5_err_f1": 0.9696969696969697,
|
| 1612 |
+
"eval_5_err_number": 34,
|
| 1613 |
+
"eval_5_err_precision": 1.0,
|
| 1614 |
+
"eval_5_err_recall": 0.9411764705882353,
|
| 1615 |
+
"eval___f1": 0.9912947214814068,
|
| 1616 |
+
"eval___number": 9934,
|
| 1617 |
+
"eval___precision": 0.9910453767984707,
|
| 1618 |
+
"eval___recall": 0.991544191664989,
|
| 1619 |
+
"eval__err_f1": 0.9808695652173912,
|
| 1620 |
+
"eval__err_number": 285,
|
| 1621 |
+
"eval__err_precision": 0.9724137931034482,
|
| 1622 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1623 |
+
"eval_egin_err_f1": 0.9924678777137793,
|
| 1624 |
+
"eval_egin_err_number": 1126,
|
| 1625 |
+
"eval_egin_err_precision": 0.9902740937223696,
|
| 1626 |
+
"eval_egin_err_recall": 0.9946714031971581,
|
| 1627 |
+
"eval_el_err_f1": 0.9956584659913169,
|
| 1628 |
+
"eval_el_err_number": 1380,
|
| 1629 |
+
"eval_el_err_precision": 0.9942196531791907,
|
| 1630 |
+
"eval_el_err_recall": 0.9971014492753624,
|
| 1631 |
+
"eval_loss": 0.0013684964505955577,
|
| 1632 |
+
"eval_macro_avg_f1": 0.9892169526969239,
|
| 1633 |
+
"eval_macro_avg_number": 23096,
|
| 1634 |
+
"eval_macro_avg_precision": 0.9914005103836372,
|
| 1635 |
+
"eval_macro_avg_recall": 0.9872769063043677,
|
| 1636 |
+
"eval_micro_avg_f1": 0.9932685439709097,
|
| 1637 |
+
"eval_micro_avg_number": 23096,
|
| 1638 |
+
"eval_micro_avg_precision": 0.9930750919714347,
|
| 1639 |
+
"eval_micro_avg_recall": 0.993462071354347,
|
| 1640 |
+
"eval_nd_err_f1": 0.9924242424242424,
|
| 1641 |
+
"eval_nd_err_number": 1188,
|
| 1642 |
+
"eval_nd_err_precision": 0.9924242424242424,
|
| 1643 |
+
"eval_nd_err_recall": 0.9924242424242424,
|
| 1644 |
+
"eval_ne_word_err_f1": 0.9957534578985683,
|
| 1645 |
+
"eval_ne_word_err_number": 8247,
|
| 1646 |
+
"eval_ne_word_err_precision": 0.9963578972927036,
|
| 1647 |
+
"eval_ne_word_err_recall": 0.9951497514247605,
|
| 1648 |
+
"eval_overall_accuracy": 0.9993838716557264,
|
| 1649 |
+
"eval_runtime": 11.7106,
|
| 1650 |
+
"eval_samples_per_second": 1570.205,
|
| 1651 |
+
"eval_steps_per_second": 98.202,
|
| 1652 |
+
"eval_unc_insert_err_f1": 0.9955703211517165,
|
| 1653 |
+
"eval_unc_insert_err_number": 902,
|
| 1654 |
+
"eval_unc_insert_err_precision": 0.9944690265486725,
|
| 1655 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 1656 |
+
"eval_weighted_avg_f1": 0.9932693971508063,
|
| 1657 |
+
"eval_weighted_avg_number": 23096,
|
| 1658 |
+
"eval_weighted_avg_precision": 0.9930823127809575,
|
| 1659 |
+
"eval_weighted_avg_recall": 0.993462071354347,
|
| 1660 |
+
"step": 16100
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 29.0,
|
| 1664 |
+
"learning_rate": 7.407407407407407e-07,
|
| 1665 |
+
"loss": 0.0032,
|
| 1666 |
+
"step": 16675
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 29.0,
|
| 1670 |
+
"eval_5_err_f1": 0.9850746268656716,
|
| 1671 |
+
"eval_5_err_number": 34,
|
| 1672 |
+
"eval_5_err_precision": 1.0,
|
| 1673 |
+
"eval_5_err_recall": 0.9705882352941176,
|
| 1674 |
+
"eval___f1": 0.9913936282651367,
|
| 1675 |
+
"eval___number": 9934,
|
| 1676 |
+
"eval___precision": 0.991343734272773,
|
| 1677 |
+
"eval___recall": 0.9914435272800484,
|
| 1678 |
+
"eval__err_f1": 0.9808027923211169,
|
| 1679 |
+
"eval__err_number": 285,
|
| 1680 |
+
"eval__err_precision": 0.9756944444444444,
|
| 1681 |
+
"eval__err_recall": 0.9859649122807017,
|
| 1682 |
+
"eval_egin_err_f1": 0.9933598937583,
|
| 1683 |
+
"eval_egin_err_number": 1126,
|
| 1684 |
+
"eval_egin_err_precision": 0.9902912621359223,
|
| 1685 |
+
"eval_egin_err_recall": 0.9964476021314387,
|
| 1686 |
+
"eval_el_err_f1": 0.9956584659913169,
|
| 1687 |
+
"eval_el_err_number": 1380,
|
| 1688 |
+
"eval_el_err_precision": 0.9942196531791907,
|
| 1689 |
+
"eval_el_err_recall": 0.9971014492753624,
|
| 1690 |
+
"eval_loss": 0.0013222108827903867,
|
| 1691 |
+
"eval_macro_avg_f1": 0.9913746293199734,
|
| 1692 |
+
"eval_macro_avg_number": 23096,
|
| 1693 |
+
"eval_macro_avg_precision": 0.9923187118435777,
|
| 1694 |
+
"eval_macro_avg_recall": 0.9904955794603574,
|
| 1695 |
+
"eval_micro_avg_f1": 0.9934190587522189,
|
| 1696 |
+
"eval_micro_avg_number": 23096,
|
| 1697 |
+
"eval_micro_avg_precision": 0.993376049874448,
|
| 1698 |
+
"eval_micro_avg_recall": 0.993462071354347,
|
| 1699 |
+
"eval_nd_err_f1": 0.9928360724820903,
|
| 1700 |
+
"eval_nd_err_number": 1188,
|
| 1701 |
+
"eval_nd_err_precision": 0.9940928270042194,
|
| 1702 |
+
"eval_nd_err_recall": 0.9915824915824916,
|
| 1703 |
+
"eval_ne_word_err_f1": 0.9957539730680578,
|
| 1704 |
+
"eval_ne_word_err_number": 8247,
|
| 1705 |
+
"eval_ne_word_err_precision": 0.9962374074523607,
|
| 1706 |
+
"eval_ne_word_err_recall": 0.9952710076391416,
|
| 1707 |
+
"eval_overall_accuracy": 0.9993957202777317,
|
| 1708 |
+
"eval_runtime": 11.6052,
|
| 1709 |
+
"eval_samples_per_second": 1584.462,
|
| 1710 |
+
"eval_steps_per_second": 99.094,
|
| 1711 |
+
"eval_unc_insert_err_f1": 0.9961175818080976,
|
| 1712 |
+
"eval_unc_insert_err_number": 902,
|
| 1713 |
+
"eval_unc_insert_err_precision": 0.9966703662597114,
|
| 1714 |
+
"eval_unc_insert_err_recall": 0.9955654101995566,
|
| 1715 |
+
"eval_weighted_avg_f1": 0.9934199813189548,
|
| 1716 |
+
"eval_weighted_avg_number": 23096,
|
| 1717 |
+
"eval_weighted_avg_precision": 0.9933807370796509,
|
| 1718 |
+
"eval_weighted_avg_recall": 0.993462071354347,
|
| 1719 |
+
"step": 16675
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 30.0,
|
| 1723 |
+
"learning_rate": 0.0,
|
| 1724 |
+
"loss": 0.003,
|
| 1725 |
+
"step": 17250
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 30.0,
|
| 1729 |
+
"eval_5_err_f1": 0.9850746268656716,
|
| 1730 |
+
"eval_5_err_number": 34,
|
| 1731 |
+
"eval_5_err_precision": 1.0,
|
| 1732 |
+
"eval_5_err_recall": 0.9705882352941176,
|
| 1733 |
+
"eval___f1": 0.9912903388209234,
|
| 1734 |
+
"eval___number": 9934,
|
| 1735 |
+
"eval___precision": 0.9915399335280491,
|
| 1736 |
+
"eval___recall": 0.9910408697402859,
|
| 1737 |
+
"eval__err_f1": 0.9808695652173912,
|
| 1738 |
+
"eval__err_number": 285,
|
| 1739 |
+
"eval__err_precision": 0.9724137931034482,
|
| 1740 |
+
"eval__err_recall": 0.9894736842105263,
|
| 1741 |
+
"eval_egin_err_f1": 0.9933598937583,
|
| 1742 |
+
"eval_egin_err_number": 1126,
|
| 1743 |
+
"eval_egin_err_precision": 0.9902912621359223,
|
| 1744 |
+
"eval_egin_err_recall": 0.9964476021314387,
|
| 1745 |
+
"eval_el_err_f1": 0.9956584659913169,
|
| 1746 |
+
"eval_el_err_number": 1380,
|
| 1747 |
+
"eval_el_err_precision": 0.9942196531791907,
|
| 1748 |
+
"eval_el_err_recall": 0.9971014492753624,
|
| 1749 |
+
"eval_loss": 0.0013192046899348497,
|
| 1750 |
+
"eval_macro_avg_f1": 0.9912800394235617,
|
| 1751 |
+
"eval_macro_avg_number": 23096,
|
| 1752 |
+
"eval_macro_avg_precision": 0.991795835558829,
|
| 1753 |
+
"eval_macro_avg_recall": 0.990841420701172,
|
| 1754 |
+
"eval_micro_avg_f1": 0.993373754872239,
|
| 1755 |
+
"eval_micro_avg_number": 23096,
|
| 1756 |
+
"eval_micro_avg_precision": 0.9936319528677872,
|
| 1757 |
+
"eval_micro_avg_recall": 0.9931156910287495,
|
| 1758 |
+
"eval_nd_err_f1": 0.9919932574799832,
|
| 1759 |
+
"eval_nd_err_number": 1188,
|
| 1760 |
+
"eval_nd_err_precision": 0.9932489451476794,
|
| 1761 |
+
"eval_nd_err_recall": 0.9907407407407407,
|
| 1762 |
+
"eval_ne_word_err_f1": 0.9958722835983974,
|
| 1763 |
+
"eval_ne_word_err_number": 8247,
|
| 1764 |
+
"eval_ne_word_err_precision": 0.9970827762246263,
|
| 1765 |
+
"eval_ne_word_err_recall": 0.9946647265672366,
|
| 1766 |
+
"eval_overall_accuracy": 0.9993957202777317,
|
| 1767 |
+
"eval_runtime": 11.623,
|
| 1768 |
+
"eval_samples_per_second": 1582.033,
|
| 1769 |
+
"eval_steps_per_second": 98.942,
|
| 1770 |
+
"eval_unc_insert_err_f1": 0.9961218836565098,
|
| 1771 |
+
"eval_unc_insert_err_number": 902,
|
| 1772 |
+
"eval_unc_insert_err_precision": 0.9955703211517165,
|
| 1773 |
+
"eval_unc_insert_err_recall": 0.9966740576496674,
|
| 1774 |
+
"eval_weighted_avg_f1": 0.993375440096453,
|
| 1775 |
+
"eval_weighted_avg_number": 23096,
|
| 1776 |
+
"eval_weighted_avg_precision": 0.9936401344515604,
|
| 1777 |
+
"eval_weighted_avg_recall": 0.9931156910287495,
|
| 1778 |
+
"step": 17250
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 30.0,
|
| 1782 |
+
"step": 17250,
|
| 1783 |
+
"total_flos": 7911429330344064.0,
|
| 1784 |
+
"train_loss": 0.06519987745561462,
|
| 1785 |
+
"train_runtime": 1743.5904,
|
| 1786 |
+
"train_samples_per_second": 316.382,
|
| 1787 |
+
"train_steps_per_second": 9.893
|
| 1788 |
+
}
|
| 1789 |
+
],
|
| 1790 |
+
"max_steps": 17250,
|
| 1791 |
+
"num_train_epochs": 30,
|
| 1792 |
+
"total_flos": 7911429330344064.0,
|
| 1793 |
+
"trial_name": null,
|
| 1794 |
+
"trial_params": null
|
| 1795 |
+
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3387
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b4c6b5e11b5bd25aac69af9ca386e301fbfbec9996b7dd5cb1ba740476d0951a
|
| 3 |
size 3387
|