metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
results: []
fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.4859
- Accuracy: 0.6111
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: 32
- eval_batch_size: 32
- 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 | 15.9159 | 0.2727 |
| No log | 2.0 | 126 | 13.1758 | 0.3838 |
| No log | 3.0 | 189 | 12.5917 | 0.4596 |
| No log | 4.0 | 252 | 11.4595 | 0.4899 |
| No log | 5.0 | 315 | 11.0792 | 0.5152 |
| No log | 6.0 | 378 | 10.3175 | 0.5455 |
| No log | 7.0 | 441 | 10.4051 | 0.5505 |
| 2.9311 | 8.0 | 504 | 10.6829 | 0.5556 |
| 2.9311 | 9.0 | 567 | 10.7602 | 0.5253 |
| 2.9311 | 10.0 | 630 | 10.2955 | 0.5707 |
| 2.9311 | 11.0 | 693 | 9.8900 | 0.5606 |
| 2.9311 | 12.0 | 756 | 9.5430 | 0.5960 |
| 2.9311 | 13.0 | 819 | 9.8694 | 0.5909 |
| 2.9311 | 14.0 | 882 | 9.6516 | 0.5758 |
| 2.9311 | 15.0 | 945 | 9.4962 | 0.6010 |
| 0.3764 | 16.0 | 1008 | 9.8449 | 0.5960 |
| 0.3764 | 17.0 | 1071 | 9.5987 | 0.6061 |
| 0.3764 | 18.0 | 1134 | 9.6737 | 0.6061 |
| 0.3764 | 19.0 | 1197 | 9.5190 | 0.6061 |
| 0.3764 | 20.0 | 1260 | 9.4859 | 0.6111 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0