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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.3380
- Accuracy: 0.5253
## 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 | 14.7499 | 0.2929 |
| No log | 2.0 | 126 | 13.0612 | 0.3636 |
| No log | 3.0 | 189 | 13.1660 | 0.4293 |
| No log | 4.0 | 252 | 13.4796 | 0.4848 |
| No log | 5.0 | 315 | 11.9863 | 0.5101 |
| No log | 6.0 | 378 | 11.3380 | 0.5253 |
| No log | 7.0 | 441 | 11.5841 | 0.4242 |
| 4.5481 | 8.0 | 504 | 15.3570 | 0.3485 |
| 4.5481 | 9.0 | 567 | 14.1857 | 0.1465 |
| 4.5481 | 10.0 | 630 | 13.5387 | 0.1263 |
| 4.5481 | 11.0 | 693 | 13.4757 | 0.1566 |
| 4.5481 | 12.0 | 756 | 14.4836 | 0.0657 |
| 4.5481 | 13.0 | 819 | 13.8175 | 0.0707 |
| 4.5481 | 14.0 | 882 | 14.0705 | 0.1313 |
| 4.5481 | 15.0 | 945 | 14.3308 | 0.0 |
| 7.3037 | 16.0 | 1008 | 14.2806 | 0.1263 |
| 7.3037 | 17.0 | 1071 | 14.2719 | 0.0101 |
| 7.3037 | 18.0 | 1134 | 13.7977 | 0.2727 |
| 7.3037 | 19.0 | 1197 | 14.2746 | 0.0657 |
| 7.3037 | 20.0 | 1260 | 14.0949 | 0.0 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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