---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-arc-distill-of-fresh-2-layer-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-arc-distill-of-fresh-2-layer-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: 17.6969
- Accuracy: 0.4697

## 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: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 63   | 15.3758         | 0.2980   |
| No log        | 2.0   | 126  | 17.7481         | 0.3131   |
| No log        | 3.0   | 189  | 17.2496         | 0.3485   |
| No log        | 4.0   | 252  | 21.2791         | 0.3889   |
| No log        | 5.0   | 315  | 15.8656         | 0.4091   |
| No log        | 6.0   | 378  | 17.6969         | 0.4697   |
| No log        | 7.0   | 441  | 19.0015         | 0.4091   |
| 2.8992        | 8.0   | 504  | 18.0056         | 0.3939   |
| 2.8992        | 9.0   | 567  | 18.0133         | 0.3889   |
| 2.8992        | 10.0  | 630  | 16.3063         | 0.4242   |
| 2.8992        | 11.0  | 693  | 17.3745         | 0.4343   |
| 2.8992        | 12.0  | 756  | 17.3269         | 0.3838   |
| 2.8992        | 13.0  | 819  | 16.1809         | 0.3889   |
| 2.8992        | 14.0  | 882  | 17.2396         | 0.3939   |
| 2.8992        | 15.0  | 945  | 17.6566         | 0.3990   |
| 0.4269        | 16.0  | 1008 | 17.4774         | 0.4192   |
| 0.4269        | 17.0  | 1071 | 16.4508         | 0.3889   |
| 0.4269        | 18.0  | 1134 | 16.7112         | 0.3737   |
| 0.4269        | 19.0  | 1197 | 17.0893         | 0.3889   |
| 0.4269        | 20.0  | 1260 | 16.8349         | 0.3889   |


### Framework versions

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