---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa10000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
  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-medmcqa10000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu

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: 182.8575
- Accuracy: 0.4225

## 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        | 0.32  | 100  | 200.8704        | 0.264    |
| No log        | 0.64  | 200  | 196.7610        | 0.376    |
| No log        | 0.96  | 300  | 208.2900        | 0.39     |
| No log        | 1.28  | 400  | 191.1668        | 0.382    |
| 139.6607      | 1.6   | 500  | 200.9705        | 0.398    |
| 139.6607      | 1.92  | 600  | 189.0896        | 0.406    |
| 139.6607      | 2.24  | 700  | 185.7183        | 0.41     |
| 139.6607      | 2.56  | 800  | 174.6011        | 0.426    |
| 139.6607      | 2.88  | 900  | 186.1249        | 0.422    |
| 79.571        | 3.19  | 1000 | 185.1113        | 0.424    |
| 79.571        | 3.51  | 1100 | 181.1421        | 0.398    |
| 79.571        | 3.83  | 1200 | 186.5035        | 0.412    |
| 79.571        | 4.15  | 1300 | 184.2203        | 0.432    |
| 79.571        | 4.47  | 1400 | 189.4636        | 0.396    |
| 56.051        | 4.79  | 1500 | 188.4894        | 0.412    |
| 56.051        | 5.11  | 1600 | 190.0390        | 0.43     |
| 56.051        | 5.43  | 1700 | 191.3842        | 0.416    |
| 56.051        | 5.75  | 1800 | 195.1680        | 0.406    |


### Framework versions

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