---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa50000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
  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-gpqa_EVAL_gpqa

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: 6.3481
- Accuracy: 0.7677

## 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  | 14.8949         | 0.4141   |
| No log        | 0.13  | 200  | 11.8675         | 0.4697   |
| No log        | 0.19  | 300  | 10.6894         | 0.5556   |
| No log        | 0.26  | 400  | 9.8194          | 0.5404   |
| 3.5537        | 0.32  | 500  | 9.0542          | 0.5556   |
| 3.5537        | 0.38  | 600  | 9.0155          | 0.6061   |
| 3.5537        | 0.45  | 700  | 8.1758          | 0.6768   |
| 3.5537        | 0.51  | 800  | 7.6983          | 0.6970   |
| 3.5537        | 0.58  | 900  | 7.6211          | 0.6818   |
| 1.0971        | 0.64  | 1000 | 7.1361          | 0.6919   |
| 1.0971        | 0.7   | 1100 | 7.1059          | 0.6717   |
| 1.0971        | 0.77  | 1200 | 6.9443          | 0.6919   |
| 1.0971        | 0.83  | 1300 | 6.7089          | 0.7273   |
| 1.0971        | 0.9   | 1400 | 6.5064          | 0.7172   |
| 0.699         | 0.96  | 1500 | 5.9161          | 0.7273   |
| 0.699         | 1.02  | 1600 | 6.6374          | 0.7525   |
| 0.699         | 1.09  | 1700 | 6.3481          | 0.7677   |
| 0.699         | 1.15  | 1800 | 5.9385          | 0.7323   |
| 0.699         | 1.22  | 1900 | 6.2063          | 0.7374   |
| 0.4733        | 1.28  | 2000 | 5.9173          | 0.7273   |
| 0.4733        | 1.34  | 2100 | 5.8466          | 0.7626   |
| 0.4733        | 1.41  | 2200 | 5.6702          | 0.7374   |


### Framework versions

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