---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa_EVAL_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-2-layer-medmcqa-distill-of-fresh-2-layer-gpqa_EVAL_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: 8.0989
- Accuracy: 0.6566

## 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   | 125  | 13.0027         | 0.4747   |
| No log        | 2.0   | 250  | 10.8183         | 0.5404   |
| No log        | 3.0   | 375  | 11.0325         | 0.5909   |
| 3.3093        | 4.0   | 500  | 11.0605         | 0.5808   |
| 3.3093        | 5.0   | 625  | 9.5436          | 0.5758   |
| 3.3093        | 6.0   | 750  | 9.1106          | 0.6515   |
| 3.3093        | 7.0   | 875  | 8.4697          | 0.6212   |
| 0.675         | 8.0   | 1000 | 9.1724          | 0.6212   |
| 0.675         | 9.0   | 1125 | 8.4508          | 0.6515   |
| 0.675         | 10.0  | 1250 | 8.5147          | 0.6111   |
| 0.675         | 11.0  | 1375 | 8.4648          | 0.6414   |
| 0.2645        | 12.0  | 1500 | 8.2626          | 0.6515   |
| 0.2645        | 13.0  | 1625 | 8.2865          | 0.6515   |
| 0.2645        | 14.0  | 1750 | 8.1180          | 0.6465   |
| 0.2645        | 15.0  | 1875 | 8.5052          | 0.6414   |
| 0.1402        | 16.0  | 2000 | 7.9762          | 0.6515   |
| 0.1402        | 17.0  | 2125 | 8.1063          | 0.6515   |
| 0.1402        | 18.0  | 2250 | 8.0695          | 0.6515   |
| 0.1402        | 19.0  | 2375 | 8.0989          | 0.6566   |
| 0.07          | 20.0  | 2500 | 8.0972          | 0.6566   |


### Framework versions

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