---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa
  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

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: 2.0870
- Accuracy: 0.2677

## 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   | 1.3865          | 0.2273   |
| No log        | 2.0   | 126  | 1.3873          | 0.2273   |
| No log        | 3.0   | 189  | 1.4299          | 0.1667   |
| No log        | 4.0   | 252  | 1.4500          | 0.2071   |
| No log        | 5.0   | 315  | 1.9720          | 0.2172   |
| No log        | 6.0   | 378  | 2.0870          | 0.2677   |
| No log        | 7.0   | 441  | 3.0344          | 0.2374   |
| 0.7594        | 8.0   | 504  | 2.8203          | 0.2222   |
| 0.7594        | 9.0   | 567  | 3.0874          | 0.2121   |
| 0.7594        | 10.0  | 630  | 3.1733          | 0.2525   |
| 0.7594        | 11.0  | 693  | 4.0368          | 0.1970   |
| 0.7594        | 12.0  | 756  | 4.1563          | 0.2273   |
| 0.7594        | 13.0  | 819  | 3.8739          | 0.2424   |
| 0.7594        | 14.0  | 882  | 3.6493          | 0.2576   |
| 0.7594        | 15.0  | 945  | 4.2385          | 0.2273   |
| 0.0675        | 16.0  | 1008 | 4.4551          | 0.2121   |
| 0.0675        | 17.0  | 1071 | 4.8175          | 0.2172   |
| 0.0675        | 18.0  | 1134 | 5.1875          | 0.2121   |
| 0.0675        | 19.0  | 1197 | 4.5584          | 0.2071   |
| 0.0675        | 20.0  | 1260 | 4.5618          | 0.2020   |


### Framework versions

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