---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-piqa2000-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-piqa2000-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: 13.4591
- Accuracy: 0.3939

## 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        | 1.59  | 100  | 15.7687         | 0.2929   |
| No log        | 3.17  | 200  | 14.1653         | 0.3889   |
| No log        | 4.76  | 300  | 13.4591         | 0.3939   |
| No log        | 6.35  | 400  | 13.9557         | 0.3737   |
| 2.3193        | 7.94  | 500  | 15.3610         | 0.3939   |
| 2.3193        | 9.52  | 600  | 13.9801         | 0.3889   |
| 2.3193        | 11.11 | 700  | 13.9090         | 0.3737   |
| 2.3193        | 12.7  | 800  | 13.6612         | 0.3535   |


### Framework versions

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