metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa-loop-4
results: []
fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa-loop-4
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4186
- Accuracy: 0.5051
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 | 2.8693 | 0.2677 |
| No log | 2.0 | 126 | 2.2777 | 0.3485 |
| No log | 3.0 | 189 | 1.0399 | 0.4141 |
| No log | 4.0 | 252 | 1.8741 | 0.4293 |
| No log | 5.0 | 315 | 1.2779 | 0.4394 |
| No log | 6.0 | 378 | 0.7112 | 0.4646 |
| No log | 7.0 | 441 | 0.8380 | 0.4596 |
| 1.9226 | 8.0 | 504 | 0.7028 | 0.4697 |
| 1.9226 | 9.0 | 567 | 0.6589 | 0.4848 |
| 1.9226 | 10.0 | 630 | 0.6303 | 0.4495 |
| 1.9226 | 11.0 | 693 | 0.7083 | 0.4646 |
| 1.9226 | 12.0 | 756 | 0.4850 | 0.4899 |
| 1.9226 | 13.0 | 819 | 0.5145 | 0.4848 |
| 1.9226 | 14.0 | 882 | 0.7032 | 0.4697 |
| 1.9226 | 15.0 | 945 | 0.4812 | 0.4697 |
| 0.2279 | 16.0 | 1008 | 0.4186 | 0.5051 |
| 0.2279 | 17.0 | 1071 | 0.3735 | 0.5 |
| 0.2279 | 18.0 | 1134 | 0.3894 | 0.5051 |
| 0.2279 | 19.0 | 1197 | 0.3845 | 0.5051 |
| 0.2279 | 20.0 | 1260 | 0.3925 | 0.5051 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0