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- .gitattributes +10 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/README.md +76 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/all_results.json +23 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/config.json +79 -0
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- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/eval_results.json +11 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/merges.txt +0 -0
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- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/test_results.json +10 -0
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- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/tokenizer_config.json +57 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/train_results.json +8 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/trainer_state.json +550 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/training_args.bin +3 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/vocab.json +0 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/README.md +93 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/all_results.json +23 -0
- max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/checkpoint-2700/config.json +233 -0
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/README.md
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| 1 |
+
---
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| 2 |
+
license: mit
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| 3 |
+
base_model: FacebookAI/roberta-base
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| 4 |
+
tags:
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- generated_from_trainer
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| 6 |
+
metrics:
|
| 7 |
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- accuracy
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| 8 |
+
model-index:
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| 9 |
+
- name: roberta_base_amazon
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+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
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| 16 |
+
# roberta_base_amazon
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| 17 |
+
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| 18 |
+
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.6534
|
| 21 |
+
- Accuracy: 0.8169
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| 22 |
+
- F1 Macro: 0.7580
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| 23 |
+
- F1 Micro: 0.8169
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| 24 |
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| 25 |
+
## Model description
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| 26 |
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| 27 |
+
More information needed
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| 28 |
+
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## Intended uses & limitations
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| 30 |
+
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| 31 |
+
More information needed
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| 32 |
+
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| 33 |
+
## Training and evaluation data
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| 34 |
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| 35 |
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More information needed
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| 36 |
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| 37 |
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## Training procedure
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| 38 |
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| 39 |
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### Training hyperparameters
|
| 40 |
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|
| 41 |
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The following hyperparameters were used during training:
|
| 42 |
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- learning_rate: 2e-05
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| 43 |
+
- train_batch_size: 32
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| 44 |
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- eval_batch_size: 32
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| 45 |
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- seed: 42
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| 46 |
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- distributed_type: multi-GPU
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| 47 |
+
- num_devices: 2
|
| 48 |
+
- total_train_batch_size: 64
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| 49 |
+
- total_eval_batch_size: 64
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| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
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| 52 |
+
- num_epochs: 3.0
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| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
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| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
|
| 58 |
+
| 2.1516 | 0.26 | 50 | 1.8448 | 0.6186 | 0.4677 | 0.6186 |
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| 59 |
+
| 1.2738 | 0.53 | 100 | 1.1242 | 0.7266 | 0.6117 | 0.7266 |
|
| 60 |
+
| 0.97 | 0.79 | 150 | 0.9489 | 0.7451 | 0.6479 | 0.7451 |
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| 61 |
+
| 0.8609 | 1.05 | 200 | 0.8303 | 0.7872 | 0.7054 | 0.7872 |
|
| 62 |
+
| 0.6901 | 1.32 | 250 | 0.7654 | 0.7899 | 0.7240 | 0.7899 |
|
| 63 |
+
| 0.7831 | 1.58 | 300 | 0.7475 | 0.7958 | 0.7314 | 0.7958 |
|
| 64 |
+
| 0.6938 | 1.84 | 350 | 0.6926 | 0.8116 | 0.7498 | 0.8116 |
|
| 65 |
+
| 0.6257 | 2.11 | 400 | 0.6786 | 0.8149 | 0.7528 | 0.8149 |
|
| 66 |
+
| 0.6242 | 2.37 | 450 | 0.6667 | 0.8129 | 0.7544 | 0.8129 |
|
| 67 |
+
| 0.5308 | 2.63 | 500 | 0.6557 | 0.8208 | 0.7612 | 0.8208 |
|
| 68 |
+
| 0.5567 | 2.89 | 550 | 0.6534 | 0.8169 | 0.7580 | 0.8169 |
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| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
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| 72 |
+
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| 73 |
+
- Transformers 4.39.0.dev0
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| 74 |
+
- Pytorch 2.2.1+cu121
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| 75 |
+
- Datasets 2.18.0
|
| 76 |
+
- Tokenizers 0.15.2
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/all_results.json
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{
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"epoch": 3.0,
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| 3 |
+
"eval_accuracy": 0.8168642951251647,
|
| 4 |
+
"eval_f1_macro": 0.7580358592296027,
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| 5 |
+
"eval_f1_micro": 0.8168642951251647,
|
| 6 |
+
"eval_loss": 0.6533666849136353,
|
| 7 |
+
"eval_runtime": 6.1641,
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| 8 |
+
"eval_samples": 1518,
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| 9 |
+
"eval_samples_per_second": 246.265,
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| 10 |
+
"eval_steps_per_second": 3.894,
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| 11 |
+
"test_accuracy": 0.8445322793148881,
|
| 12 |
+
"test_f1_macro": 0.7842149767614086,
|
| 13 |
+
"test_f1_micro": 0.8445322793148881,
|
| 14 |
+
"test_loss": 0.6160555481910706,
|
| 15 |
+
"test_runtime": 6.1735,
|
| 16 |
+
"test_samples_per_second": 245.891,
|
| 17 |
+
"test_steps_per_second": 3.888,
|
| 18 |
+
"train_loss": 0.9715813352350603,
|
| 19 |
+
"train_runtime": 517.8127,
|
| 20 |
+
"train_samples": 12144,
|
| 21 |
+
"train_samples_per_second": 70.357,
|
| 22 |
+
"train_steps_per_second": 1.101
|
| 23 |
+
}
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/config.json
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| 1 |
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{
|
| 2 |
+
"_name_or_path": "FacebookAI/roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
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"RobertaForSequenceClassification"
|
| 5 |
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],
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| 6 |
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"finetuning_task": "text-classification",
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"hidden_act": "gelu",
|
| 12 |
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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ADDED
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ADDED
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ADDED
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/special_tokens_map.json
ADDED
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|
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer.json
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer_config.json
ADDED
|
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|
| 11 |
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|
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|
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|
| 16 |
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|
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|
| 18 |
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|
| 19 |
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|
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|
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|
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|
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|
| 35 |
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|
| 37 |
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|
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|
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|
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|
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|
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|
max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/checkpoint-550/trainer_state.json
ADDED
|
@@ -0,0 +1,527 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 8 |
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| 10 |
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|
| 11 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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|
| 30 |
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|
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|
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|
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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| 8 |
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/trainer_state.json
ADDED
|
@@ -0,0 +1,550 @@
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|
max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e50be805655392885abb404908f71df5c35cf43658730dbb84159c8ba0987945
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| 3 |
+
size 5048
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max_seq_length_512_experiments/FacebookAI/roberta_base_amazon/vocab.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/README.md
ADDED
|
@@ -0,0 +1,93 @@
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|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: FacebookAI/roberta-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: roberta_base_ledgar
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# roberta_base_ledgar
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.5945
|
| 21 |
+
- Accuracy: 0.8453
|
| 22 |
+
- F1 Macro: 0.7392
|
| 23 |
+
- F1 Micro: 0.8453
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 2e-05
|
| 43 |
+
- train_batch_size: 32
|
| 44 |
+
- eval_batch_size: 32
|
| 45 |
+
- seed: 42
|
| 46 |
+
- distributed_type: multi-GPU
|
| 47 |
+
- num_devices: 2
|
| 48 |
+
- total_train_batch_size: 64
|
| 49 |
+
- total_eval_batch_size: 64
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- num_epochs: 3.0
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
|
| 58 |
+
| 3.1362 | 0.11 | 100 | 2.7513 | 0.5507 | 0.2743 | 0.5507 |
|
| 59 |
+
| 2.0094 | 0.21 | 200 | 1.8194 | 0.678 | 0.4121 | 0.678 |
|
| 60 |
+
| 1.573 | 0.32 | 300 | 1.4166 | 0.7322 | 0.5072 | 0.7322 |
|
| 61 |
+
| 1.2789 | 0.43 | 400 | 1.1782 | 0.7693 | 0.5711 | 0.7693 |
|
| 62 |
+
| 1.1898 | 0.53 | 500 | 1.0305 | 0.7877 | 0.6067 | 0.7877 |
|
| 63 |
+
| 1.0704 | 0.64 | 600 | 0.9311 | 0.7986 | 0.6314 | 0.7986 |
|
| 64 |
+
| 0.9539 | 0.75 | 700 | 0.8658 | 0.8014 | 0.6332 | 0.8014 |
|
| 65 |
+
| 0.9228 | 0.85 | 800 | 0.8173 | 0.8077 | 0.6463 | 0.8077 |
|
| 66 |
+
| 0.8447 | 0.96 | 900 | 0.7711 | 0.8205 | 0.6760 | 0.8205 |
|
| 67 |
+
| 0.7568 | 1.07 | 1000 | 0.7531 | 0.8197 | 0.6750 | 0.8197 |
|
| 68 |
+
| 0.7484 | 1.17 | 1100 | 0.7310 | 0.8219 | 0.6822 | 0.8219 |
|
| 69 |
+
| 0.7915 | 1.28 | 1200 | 0.7162 | 0.8271 | 0.6897 | 0.8271 |
|
| 70 |
+
| 0.7083 | 1.39 | 1300 | 0.6928 | 0.8256 | 0.6919 | 0.8256 |
|
| 71 |
+
| 0.6292 | 1.49 | 1400 | 0.6823 | 0.8281 | 0.6930 | 0.8281 |
|
| 72 |
+
| 0.6646 | 1.6 | 1500 | 0.6709 | 0.8321 | 0.7047 | 0.8321 |
|
| 73 |
+
| 0.6808 | 1.71 | 1600 | 0.6590 | 0.8348 | 0.7160 | 0.8348 |
|
| 74 |
+
| 0.6748 | 1.81 | 1700 | 0.6456 | 0.8336 | 0.7130 | 0.8336 |
|
| 75 |
+
| 0.6251 | 1.92 | 1800 | 0.6295 | 0.8377 | 0.7167 | 0.8377 |
|
| 76 |
+
| 0.6155 | 2.03 | 1900 | 0.6280 | 0.8382 | 0.7147 | 0.8382 |
|
| 77 |
+
| 0.5387 | 2.13 | 2000 | 0.6257 | 0.8387 | 0.7213 | 0.8387 |
|
| 78 |
+
| 0.5859 | 2.24 | 2100 | 0.6193 | 0.8402 | 0.7276 | 0.8402 |
|
| 79 |
+
| 0.5663 | 2.35 | 2200 | 0.6136 | 0.843 | 0.7314 | 0.843 |
|
| 80 |
+
| 0.5836 | 2.45 | 2300 | 0.6110 | 0.8433 | 0.7320 | 0.8433 |
|
| 81 |
+
| 0.5451 | 2.56 | 2400 | 0.5996 | 0.8463 | 0.7385 | 0.8463 |
|
| 82 |
+
| 0.5198 | 2.67 | 2500 | 0.5996 | 0.8445 | 0.7385 | 0.8445 |
|
| 83 |
+
| 0.5508 | 2.77 | 2600 | 0.5973 | 0.8439 | 0.7371 | 0.8439 |
|
| 84 |
+
| 0.5199 | 2.88 | 2700 | 0.5945 | 0.8453 | 0.7392 | 0.8453 |
|
| 85 |
+
| 0.5495 | 2.99 | 2800 | 0.5946 | 0.8451 | 0.7383 | 0.8451 |
|
| 86 |
+
|
| 87 |
+
|
| 88 |
+
### Framework versions
|
| 89 |
+
|
| 90 |
+
- Transformers 4.39.0.dev0
|
| 91 |
+
- Pytorch 2.2.1+cu121
|
| 92 |
+
- Datasets 2.18.0
|
| 93 |
+
- Tokenizers 0.15.2
|
max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/all_results.json
ADDED
|
@@ -0,0 +1,23 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
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"eval_accuracy": 0.8453,
|
| 4 |
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"eval_f1_macro": 0.7391787821862769,
|
| 5 |
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"eval_f1_micro": 0.8453,
|
| 6 |
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"eval_loss": 0.5945026874542236,
|
| 7 |
+
"eval_runtime": 40.1416,
|
| 8 |
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"eval_samples": 10000,
|
| 9 |
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"eval_samples_per_second": 249.118,
|
| 10 |
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"eval_steps_per_second": 3.911,
|
| 11 |
+
"test_accuracy": 0.8466,
|
| 12 |
+
"test_f1_macro": 0.7313572079408452,
|
| 13 |
+
"test_f1_micro": 0.8466,
|
| 14 |
+
"test_loss": 0.608473002910614,
|
| 15 |
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"test_runtime": 40.5608,
|
| 16 |
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"test_samples_per_second": 246.543,
|
| 17 |
+
"test_steps_per_second": 3.871,
|
| 18 |
+
"train_loss": 0.9456861351259905,
|
| 19 |
+
"train_runtime": 3281.5845,
|
| 20 |
+
"train_samples": 60000,
|
| 21 |
+
"train_samples_per_second": 54.852,
|
| 22 |
+
"train_steps_per_second": 0.858
|
| 23 |
+
}
|
max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/checkpoint-2700/config.json
ADDED
|
@@ -0,0 +1,233 @@
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ADDED
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ADDED
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ADDED
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ADDED
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size 14512
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ADDED
|
@@ -0,0 +1,3 @@
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size 1064
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/checkpoint-2700/special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
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|
| 1 |
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| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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| 11 |
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|
| 13 |
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ADDED
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/checkpoint-2700/tokenizer_config.json
ADDED
|
@@ -0,0 +1,57 @@
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|
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|
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|
| 4 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 19 |
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|
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|
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|
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|
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|
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|
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|
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|
| 32 |
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|
| 33 |
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|
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|
| 35 |
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| 38 |
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|
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|
| 43 |
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| 45 |
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|
| 46 |
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|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
|
max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/checkpoint-2700/trainer_state.json
ADDED
|
@@ -0,0 +1,1074 @@
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/config.json
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/eval_results.json
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/merges.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/run.log
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03/21/2024 06:26:13 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: False
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03/21/2024 06:26:13 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, 16-bits training: False
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| 3 |
+
03/21/2024 06:26:16 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
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| 4 |
+
03/21/2024 06:26:16 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
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max_seq_length_512_experiments/FacebookAI/roberta_base_ledgar/special_tokens_map.json
ADDED
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@@ -0,0 +1,15 @@
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| 1 |
+
{
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| 2 |
+
"bos_token": "<s>",
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| 3 |
+
"cls_token": "<s>",
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| 4 |
+
"eos_token": "</s>",
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| 5 |
+
"mask_token": {
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| 6 |
+
"content": "<mask>",
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| 7 |
+
"lstrip": true,
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| 8 |
+
"normalized": false,
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| 9 |
+
"rstrip": false,
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| 10 |
+
"single_word": false
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| 11 |
+
},
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| 12 |
+
"pad_token": "<pad>",
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| 13 |
+
"sep_token": "</s>",
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| 14 |
+
"unk_token": "<unk>"
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| 15 |
+
}
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