---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa50000-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-medmcqa50000-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: 4.6855
- Accuracy: 0.7828

## 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
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.06  | 100  | 14.3260         | 0.3333   |
| No log        | 0.13  | 200  | 12.1073         | 0.4899   |
| No log        | 0.19  | 300  | 11.0435         | 0.5101   |
| No log        | 0.26  | 400  | 9.6543          | 0.5808   |
| 3.466         | 0.32  | 500  | 9.4758          | 0.5960   |
| 3.466         | 0.38  | 600  | 8.5372          | 0.6263   |
| 3.466         | 0.45  | 700  | 8.3611          | 0.6566   |
| 3.466         | 0.51  | 800  | 7.3273          | 0.6919   |
| 3.466         | 0.58  | 900  | 8.0522          | 0.6414   |
| 1.1408        | 0.64  | 1000 | 7.5545          | 0.6515   |
| 1.1408        | 0.7   | 1100 | 6.9424          | 0.7020   |
| 1.1408        | 0.77  | 1200 | 6.5618          | 0.6869   |
| 1.1408        | 0.83  | 1300 | 6.1301          | 0.7121   |
| 1.1408        | 0.9   | 1400 | 7.3708          | 0.7121   |
| 0.7156        | 0.96  | 1500 | 5.9791          | 0.7172   |
| 0.7156        | 1.02  | 1600 | 6.0925          | 0.7172   |
| 0.7156        | 1.09  | 1700 | 6.1228          | 0.7121   |
| 0.7156        | 1.15  | 1800 | 6.2473          | 0.7222   |
| 0.7156        | 1.22  | 1900 | 6.3483          | 0.7172   |
| 0.4805        | 1.28  | 2000 | 5.6959          | 0.7071   |
| 0.4805        | 1.34  | 2100 | 5.5578          | 0.7424   |
| 0.4805        | 1.41  | 2200 | 5.2385          | 0.7626   |
| 0.4805        | 1.47  | 2300 | 5.6583          | 0.7374   |
| 0.4805        | 1.54  | 2400 | 5.1442          | 0.7475   |
| 0.3914        | 1.6   | 2500 | 5.0866          | 0.7677   |
| 0.3914        | 1.66  | 2600 | 5.0077          | 0.7626   |
| 0.3914        | 1.73  | 2700 | 4.6813          | 0.7778   |
| 0.3914        | 1.79  | 2800 | 4.8810          | 0.7677   |
| 0.3914        | 1.86  | 2900 | 4.6941          | 0.7626   |
| 0.3368        | 1.92  | 3000 | 4.8332          | 0.7727   |
| 0.3368        | 1.98  | 3100 | 4.6855          | 0.7828   |
| 0.3368        | 2.05  | 3200 | 4.7359          | 0.7778   |
| 0.3368        | 2.11  | 3300 | 4.5992          | 0.7778   |
| 0.3368        | 2.18  | 3400 | 4.5406          | 0.7677   |
| 0.2459        | 2.24  | 3500 | 4.8480          | 0.7828   |
| 0.2459        | 2.3   | 3600 | 4.6215          | 0.7677   |


### Framework versions

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