metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa
results: []
fresh-2-layer-medmcqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0870
- Accuracy: 0.2677
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 63 | 1.3865 | 0.2273 |
| No log | 2.0 | 126 | 1.3873 | 0.2273 |
| No log | 3.0 | 189 | 1.4299 | 0.1667 |
| No log | 4.0 | 252 | 1.4500 | 0.2071 |
| No log | 5.0 | 315 | 1.9720 | 0.2172 |
| No log | 6.0 | 378 | 2.0870 | 0.2677 |
| No log | 7.0 | 441 | 3.0344 | 0.2374 |
| 0.7594 | 8.0 | 504 | 2.8203 | 0.2222 |
| 0.7594 | 9.0 | 567 | 3.0874 | 0.2121 |
| 0.7594 | 10.0 | 630 | 3.1733 | 0.2525 |
| 0.7594 | 11.0 | 693 | 4.0368 | 0.1970 |
| 0.7594 | 12.0 | 756 | 4.1563 | 0.2273 |
| 0.7594 | 13.0 | 819 | 3.8739 | 0.2424 |
| 0.7594 | 14.0 | 882 | 3.6493 | 0.2576 |
| 0.7594 | 15.0 | 945 | 4.2385 | 0.2273 |
| 0.0675 | 16.0 | 1008 | 4.4551 | 0.2121 |
| 0.0675 | 17.0 | 1071 | 4.8175 | 0.2172 |
| 0.0675 | 18.0 | 1134 | 5.1875 | 0.2121 |
| 0.0675 | 19.0 | 1197 | 4.5584 | 0.2071 |
| 0.0675 | 20.0 | 1260 | 4.5618 | 0.2020 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0