---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa50000-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-medmcqa50000-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: 178.1362
- Accuracy: 0.4510

## 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  | 200.7935        | 0.24     |
| No log        | 0.13  | 200  | 195.0955        | 0.322    |
| No log        | 0.19  | 300  | 199.3146        | 0.348    |
| No log        | 0.26  | 400  | 181.3482        | 0.378    |
| 141.8956      | 0.32  | 500  | 183.5053        | 0.406    |
| 141.8956      | 0.38  | 600  | 175.3492        | 0.414    |
| 141.8956      | 0.45  | 700  | 179.5743        | 0.44     |
| 141.8956      | 0.51  | 800  | 178.0992        | 0.456    |
| 141.8956      | 0.58  | 900  | 167.6717        | 0.458    |
| 92.2658       | 0.64  | 1000 | 173.9797        | 0.422    |
| 92.2658       | 0.7   | 1100 | 177.7031        | 0.44     |
| 92.2658       | 0.77  | 1200 | 176.5930        | 0.45     |
| 92.2658       | 0.83  | 1300 | 184.5445        | 0.45     |
| 92.2658       | 0.9   | 1400 | 180.6332        | 0.466    |
| 80.2568       | 0.96  | 1500 | 180.5694        | 0.462    |
| 80.2568       | 1.02  | 1600 | 173.9805        | 0.462    |
| 80.2568       | 1.09  | 1700 | 168.0511        | 0.46     |
| 80.2568       | 1.15  | 1800 | 177.9322        | 0.458    |
| 80.2568       | 1.22  | 1900 | 172.7217        | 0.462    |


### Framework versions

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