metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-4-layer-medmcqa-distill-of-fresh-4-layer-gpqa
results: []
fresh-4-layer-medmcqa-distill-of-fresh-4-layer-gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.0337
- Accuracy: 0.5859
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 | 12.5127 | 0.2677 |
| No log | 2.0 | 126 | 12.1212 | 0.4646 |
| No log | 3.0 | 189 | 11.4053 | 0.5 |
| No log | 4.0 | 252 | 9.7231 | 0.5404 |
| No log | 5.0 | 315 | 10.5580 | 0.5101 |
| No log | 6.0 | 378 | 9.6734 | 0.5556 |
| No log | 7.0 | 441 | 11.0424 | 0.5 |
| 3.7476 | 8.0 | 504 | 9.7632 | 0.5455 |
| 3.7476 | 9.0 | 567 | 9.2853 | 0.5404 |
| 3.7476 | 10.0 | 630 | 9.6583 | 0.5152 |
| 3.7476 | 11.0 | 693 | 9.7091 | 0.5101 |
| 3.7476 | 12.0 | 756 | 9.8989 | 0.5303 |
| 3.7476 | 13.0 | 819 | 9.1235 | 0.5808 |
| 3.7476 | 14.0 | 882 | 8.9247 | 0.5354 |
| 3.7476 | 15.0 | 945 | 9.0337 | 0.5859 |
| 0.5369 | 16.0 | 1008 | 9.0346 | 0.5505 |
| 0.5369 | 17.0 | 1071 | 9.0031 | 0.5606 |
| 0.5369 | 18.0 | 1134 | 8.9774 | 0.5657 |
| 0.5369 | 19.0 | 1197 | 8.9290 | 0.5808 |
| 0.5369 | 20.0 | 1260 | 8.9045 | 0.5808 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0