---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-8-layer-medmcqa-distill-of-fresh-8-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-8-layer-medmcqa-distill-of-fresh-8-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: 17.1123
- Accuracy: 0.5455

## 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   | 22.9570         | 0.2273   |
| No log        | 2.0   | 126  | 21.2108         | 0.3636   |
| No log        | 3.0   | 189  | 26.1433         | 0.4040   |
| No log        | 4.0   | 252  | 24.1795         | 0.3838   |
| No log        | 5.0   | 315  | 17.9657         | 0.4747   |
| No log        | 6.0   | 378  | 20.0576         | 0.5354   |
| No log        | 7.0   | 441  | 17.5133         | 0.5      |
| 10.1769       | 8.0   | 504  | 22.3248         | 0.5101   |
| 10.1769       | 9.0   | 567  | 20.7352         | 0.4848   |
| 10.1769       | 10.0  | 630  | 22.9071         | 0.4596   |
| 10.1769       | 11.0  | 693  | 17.8100         | 0.4899   |
| 10.1769       | 12.0  | 756  | 17.9827         | 0.5202   |
| 10.1769       | 13.0  | 819  | 19.2382         | 0.5      |
| 10.1769       | 14.0  | 882  | 18.8849         | 0.4949   |
| 10.1769       | 15.0  | 945  | 17.6397         | 0.5202   |
| 2.2143        | 16.0  | 1008 | 19.0081         | 0.5101   |
| 2.2143        | 17.0  | 1071 | 17.8718         | 0.5152   |
| 2.2143        | 18.0  | 1134 | 17.5239         | 0.5303   |
| 2.2143        | 19.0  | 1197 | 17.1123         | 0.5455   |
| 2.2143        | 20.0  | 1260 | 17.7756         | 0.5404   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0