Model save
Browse files- README.md +75 -0
- all_results.json +9 -0
- model.safetensors +1 -1
- train_results.json +9 -0
- trainer_state.json +396 -0
README.md
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+
---
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+
library_name: transformers
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license: mit
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base_model: jhu-clsp/mmBERT-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: router-mmBERT-base-text-only-v3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# router-mmBERT-base-text-only-v3
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This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5245
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- Accuracy: 0.7443
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- Precision: 0.7442
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- Recall: 0.7443
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- F1: 0.7261
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0 | 0 | 1.0763 | 0.6193 | 0.5068 | 0.6193 | 0.5051 |
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| 0.7067 | 0.2273 | 20 | 0.6497 | 0.6818 | 0.6798 | 0.6818 | 0.6807 |
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| 0.7588 | 0.4545 | 40 | 0.8423 | 0.5114 | 0.7484 | 0.5114 | 0.4657 |
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| 0.5581 | 0.6818 | 60 | 0.6621 | 0.6818 | 0.7433 | 0.6818 | 0.6867 |
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| 0.641 | 0.9091 | 80 | 0.6033 | 0.6477 | 0.6849 | 0.6477 | 0.6544 |
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| 0.5344 | 1.1364 | 100 | 0.6142 | 0.7216 | 0.7176 | 0.7216 | 0.7190 |
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| 0.5484 | 1.3636 | 120 | 0.6226 | 0.6818 | 0.7328 | 0.6818 | 0.6874 |
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| 0.5466 | 1.5909 | 140 | 0.5224 | 0.75 | 0.7525 | 0.75 | 0.7311 |
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| 0.5092 | 1.8182 | 160 | 0.5245 | 0.7443 | 0.7442 | 0.7443 | 0.7261 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.2.0
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- Tokenizers 0.22.1
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 827712122198220.0,
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"train_loss": 0.6994981775906953,
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"train_runtime": 127.8433,
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"train_samples": 1407,
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"train_samples_per_second": 22.011,
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"train_steps_per_second": 1.377
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1230141424
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:230d06c7857f483c3990389a77f450b240f0eb648be0b35f93647f763afcc484
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size 1230141424
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train_results.json
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{
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"epoch": 2.0,
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"total_flos": 827712122198220.0,
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"train_loss": 0.6994981775906953,
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"train_runtime": 127.8433,
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"train_samples": 1407,
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"train_samples_per_second": 22.011,
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"train_steps_per_second": 1.377
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}
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trainer_state.json
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| 1 |
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{
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| 2 |
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"best_global_step": 140,
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| 3 |
+
"best_metric": 0.7311372549019608,
|
| 4 |
+
"best_model_checkpoint": "runs/router-mmBERT-base-text-only-v3/checkpoint-140",
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 20,
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| 7 |
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"global_step": 176,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
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| 10 |
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"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 0,
|
| 14 |
+
"eval_accuracy": 0.6193181818181818,
|
| 15 |
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"eval_f1": 0.5051193606153257,
|
| 16 |
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"eval_loss": 1.0763274431228638,
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| 17 |
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"eval_precision": 0.506800891416276,
|
| 18 |
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"eval_recall": 0.6193181818181818,
|
| 19 |
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"eval_runtime": 2.2756,
|
| 20 |
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"eval_samples_per_second": 77.343,
|
| 21 |
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"eval_steps_per_second": 2.637,
|
| 22 |
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"step": 0
|
| 23 |
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},
|
| 24 |
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{
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| 25 |
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"epoch": 0.056818181818181816,
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| 26 |
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"grad_norm": 42.762916564941406,
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| 27 |
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"learning_rate": 9.987260573051269e-05,
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| 28 |
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"loss": 3.6412,
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| 29 |
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"step": 5
|
| 30 |
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},
|
| 31 |
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{
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| 32 |
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"epoch": 0.11363636363636363,
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| 33 |
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"grad_norm": 16.814544677734375,
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| 34 |
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"learning_rate": 9.935617890443557e-05,
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| 35 |
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"loss": 1.1579,
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| 36 |
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"step": 10
|
| 37 |
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},
|
| 38 |
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{
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| 39 |
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"epoch": 0.17045454545454544,
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| 40 |
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"grad_norm": 5.188882350921631,
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| 41 |
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"learning_rate": 9.844686508907537e-05,
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| 42 |
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"loss": 0.6466,
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| 43 |
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"step": 15
|
| 44 |
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},
|
| 45 |
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{
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| 46 |
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"epoch": 0.22727272727272727,
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| 47 |
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"grad_norm": 21.053104400634766,
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| 48 |
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"learning_rate": 9.715190263989561e-05,
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| 49 |
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"loss": 0.7067,
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| 50 |
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"step": 20
|
| 51 |
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},
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| 52 |
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{
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| 53 |
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"epoch": 0.22727272727272727,
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"eval_accuracy": 0.6818181818181818,
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