---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-piqa10000-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-piqa10000-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: 12.9939
- Accuracy: 0.5101

## 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        | 0.32  | 100  | 19.1271         | 0.2879   |
| No log        | 0.64  | 200  | 13.9385         | 0.3687   |
| No log        | 0.96  | 300  | 13.3742         | 0.4040   |
| No log        | 1.28  | 400  | 13.6512         | 0.4293   |
| 2.752         | 1.6   | 500  | 13.0455         | 0.3838   |
| 2.752         | 1.92  | 600  | 15.1798         | 0.4293   |
| 2.752         | 2.24  | 700  | 13.8055         | 0.4545   |
| 2.752         | 2.56  | 800  | 13.9917         | 0.4394   |
| 2.752         | 2.88  | 900  | 13.5923         | 0.4899   |
| 0.9799        | 3.19  | 1000 | 13.3283         | 0.4545   |
| 0.9799        | 3.51  | 1100 | 12.5037         | 0.4798   |
| 0.9799        | 3.83  | 1200 | 13.9429         | 0.4545   |
| 0.9799        | 4.15  | 1300 | 12.9939         | 0.5101   |
| 0.9799        | 4.47  | 1400 | 13.7332         | 0.4899   |
| 0.5295        | 4.79  | 1500 | 13.9869         | 0.4596   |
| 0.5295        | 5.11  | 1600 | 12.5349         | 0.4747   |
| 0.5295        | 5.43  | 1700 | 12.5107         | 0.5      |
| 0.5295        | 5.75  | 1800 | 13.0188         | 0.5      |


### Framework versions

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