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_only44
results: []
scenario-KD-PR-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only44
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: 1.3472
- Accuracy: 0.4854
- F1: 0.4837
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: 44
- 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 | 1.2889 | 0.4594 | 0.4362 |
| No log | 3.45 | 200 | 1.2863 | 0.4802 | 0.4774 |
| No log | 5.17 | 300 | 1.3275 | 0.4612 | 0.4493 |
| No log | 6.9 | 400 | 1.3428 | 0.4885 | 0.4874 |
| 1.1183 | 8.62 | 500 | 1.3395 | 0.4841 | 0.4835 |
| 1.1183 | 10.34 | 600 | 1.3621 | 0.4705 | 0.4689 |
| 1.1183 | 12.07 | 700 | 1.3524 | 0.4643 | 0.4624 |
| 1.1183 | 13.79 | 800 | 1.3665 | 0.4660 | 0.4617 |
| 1.1183 | 15.52 | 900 | 1.3531 | 0.4793 | 0.4762 |
| 0.9576 | 17.24 | 1000 | 1.3762 | 0.4669 | 0.4633 |
| 0.9576 | 18.97 | 1100 | 1.3615 | 0.4718 | 0.4681 |
| 0.9576 | 20.69 | 1200 | 1.3656 | 0.4691 | 0.4638 |
| 0.9576 | 22.41 | 1300 | 1.3684 | 0.4722 | 0.4685 |
| 0.9576 | 24.14 | 1400 | 1.3559 | 0.4740 | 0.4741 |
| 0.9369 | 25.86 | 1500 | 1.3527 | 0.4753 | 0.4739 |
| 0.9369 | 27.59 | 1600 | 1.3407 | 0.4762 | 0.4757 |
| 0.9369 | 29.31 | 1700 | 1.3472 | 0.4854 | 0.4837 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3