---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-arc2000-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-arc2000-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: 232.3996
- Accuracy: 0.3238

## 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  | 200.6664        | 0.258    |
| No log        | 3.17  | 200  | 214.1454        | 0.284    |
| No log        | 4.76  | 300  | 217.4835        | 0.298    |
| No log        | 6.35  | 400  | 230.0120        | 0.354    |
| 109.2674      | 7.94  | 500  | 246.2496        | 0.332    |
| 109.2674      | 9.52  | 600  | 229.0414        | 0.34     |
| 109.2674      | 11.11 | 700  | 225.5762        | 0.338    |
| 109.2674      | 12.7  | 800  | 235.3921        | 0.324    |
| 109.2674      | 14.29 | 900  | 229.8624        | 0.346    |


### Framework versions

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