---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa5000-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-medmcqa5000-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: 195.1898
- Accuracy: 0.3859

## 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        | 0.64  | 100  | 200.6038        | 0.252    |
| No log        | 1.27  | 200  | 204.0380        | 0.342    |
| No log        | 1.91  | 300  | 204.2234        | 0.33     |
| No log        | 2.55  | 400  | 203.4390        | 0.39     |
| 135.6304      | 3.18  | 500  | 200.8276        | 0.392    |
| 135.6304      | 3.82  | 600  | 206.8670        | 0.386    |
| 135.6304      | 4.46  | 700  | 201.8676        | 0.386    |
| 135.6304      | 5.1   | 800  | 229.1385        | 0.364    |
| 135.6304      | 5.73  | 900  | 198.5690        | 0.396    |
| 56.0896       | 6.37  | 1000 | 194.0026        | 0.402    |
| 56.0896       | 7.01  | 1100 | 214.3130        | 0.372    |
| 56.0896       | 7.64  | 1200 | 220.0111        | 0.36     |
| 56.0896       | 8.28  | 1300 | 209.6216        | 0.376    |
| 56.0896       | 8.92  | 1400 | 213.6702        | 0.394    |
| 31.2764       | 9.55  | 1500 | 210.4745        | 0.394    |


### Framework versions

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