---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 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-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: 0.0196
- Accuracy: 0.9942

## 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
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 439  | 1.1960          | 0.518    |
| 1.2946        | 2.0   | 878  | 0.9728          | 0.61     |
| 1.1382        | 3.0   | 1317 | 0.6014          | 0.796    |
| 0.8904        | 4.0   | 1756 | 0.3594          | 0.88     |
| 0.5997        | 5.0   | 2195 | 0.2266          | 0.932    |
| 0.413         | 6.0   | 2634 | 0.1883          | 0.936    |
| 0.2801        | 7.0   | 3073 | 0.1547          | 0.95     |
| 0.2194        | 8.0   | 3512 | 0.1150          | 0.952    |
| 0.2194        | 9.0   | 3951 | 0.0860          | 0.974    |
| 0.1697        | 10.0  | 4390 | 0.0870          | 0.974    |
| 0.134         | 11.0  | 4829 | 0.0561          | 0.98     |
| 0.1098        | 12.0  | 5268 | 0.0450          | 0.99     |
| 0.0908        | 13.0  | 5707 | 0.0301          | 0.988    |
| 0.0771        | 14.0  | 6146 | 0.0229          | 0.992    |
| 0.0618        | 15.0  | 6585 | 0.0174          | 0.996    |
| 0.0482        | 16.0  | 7024 | 0.0107          | 0.998    |
| 0.0482        | 17.0  | 7463 | 0.0060          | 0.996    |
| 0.0418        | 18.0  | 7902 | 0.0037          | 0.998    |
| 0.0289        | 19.0  | 8341 | 0.0031          | 0.998    |
| 0.0242        | 20.0  | 8780 | 0.0029          | 0.998    |


### Framework versions

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