---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa100000-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-medmcqa100000-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: 207.8812
- Accuracy: 0.4391

## 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        | 0.03  | 100  | 200.5408        | 0.246    |
| No log        | 0.06  | 200  | 200.4924        | 0.318    |
| No log        | 0.1   | 300  | 189.5536        | 0.362    |
| No log        | 0.13  | 400  | 213.1945        | 0.408    |
| 142.2534      | 0.16  | 500  | 200.2095        | 0.41     |
| 142.2534      | 0.19  | 600  | 183.4482        | 0.434    |
| 142.2534      | 0.22  | 700  | 181.7445        | 0.446    |
| 142.2534      | 0.26  | 800  | 174.5725        | 0.446    |
| 142.2534      | 0.29  | 900  | 172.2695        | 0.456    |
| 95.7189       | 0.32  | 1000 | 189.9845        | 0.446    |
| 95.7189       | 0.35  | 1100 | 200.3398        | 0.446    |
| 95.7189       | 0.38  | 1200 | 176.7680        | 0.422    |
| 95.7189       | 0.42  | 1300 | 184.6660        | 0.424    |
| 95.7189       | 0.45  | 1400 | 206.7043        | 0.466    |
| 83.1508       | 0.48  | 1500 | 188.5695        | 0.454    |
| 83.1508       | 0.51  | 1600 | 206.9309        | 0.452    |
| 83.1508       | 0.54  | 1700 | 186.1902        | 0.454    |
| 83.1508       | 0.58  | 1800 | 191.8201        | 0.45     |
| 83.1508       | 0.61  | 1900 | 185.2374        | 0.466    |


### Framework versions

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