metadata
license: mit
base_model: haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-KD-PR-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only55
results: []
scenario-KD-PR-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only55
This model is a fine-tuned version of haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3581
- Accuracy: 0.4652
- F1: 0.4628
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 55
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.72 | 100 | 1.3031 | 0.4771 | 0.4716 |
| No log | 3.45 | 200 | 1.3400 | 0.4683 | 0.4652 |
| No log | 5.17 | 300 | 1.3825 | 0.4519 | 0.4469 |
| No log | 6.9 | 400 | 1.3630 | 0.4506 | 0.4420 |
| 1.1126 | 8.62 | 500 | 1.3707 | 0.4638 | 0.4582 |
| 1.1126 | 10.34 | 600 | 1.3829 | 0.4586 | 0.4484 |
| 1.1126 | 12.07 | 700 | 1.3900 | 0.4515 | 0.4453 |
| 1.1126 | 13.79 | 800 | 1.3686 | 0.4533 | 0.4524 |
| 1.1126 | 15.52 | 900 | 1.3663 | 0.4691 | 0.4671 |
| 0.9617 | 17.24 | 1000 | 1.3568 | 0.4634 | 0.4633 |
| 0.9617 | 18.97 | 1100 | 1.3790 | 0.4687 | 0.4636 |
| 0.9617 | 20.69 | 1200 | 1.3537 | 0.4744 | 0.4719 |
| 0.9617 | 22.41 | 1300 | 1.3759 | 0.4735 | 0.4682 |
| 0.9617 | 24.14 | 1400 | 1.3573 | 0.4687 | 0.4675 |
| 0.9417 | 25.86 | 1500 | 1.3581 | 0.4740 | 0.4734 |
| 0.9417 | 27.59 | 1600 | 1.3547 | 0.4608 | 0.4588 |
| 0.9417 | 29.31 | 1700 | 1.3581 | 0.4652 | 0.4628 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3