---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-qasc2000-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-qasc2000-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: 207.2272
- Accuracy: 0.3112

## 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  | 201.7617        | 0.23     |
| No log        | 3.17  | 200  | 215.9669        | 0.294    |
| No log        | 4.76  | 300  | 202.8176        | 0.334    |
| No log        | 6.35  | 400  | 207.7114        | 0.356    |
| 92.1591       | 7.94  | 500  | 219.4992        | 0.322    |
| 92.1591       | 9.52  | 600  | 219.8570        | 0.346    |
| 92.1591       | 11.11 | 700  | 214.9255        | 0.352    |
| 92.1591       | 12.7  | 800  | 216.3126        | 0.336    |
| 92.1591       | 14.29 | 900  | 216.1720        | 0.328    |


### Framework versions

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