---
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