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---
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
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