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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-4-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-4-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: 0.1650
- Accuracy: 0.9697
## 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 | 13 | 1.3861 | 0.2424 |
| No log | 2.0 | 26 | 1.3858 | 0.2576 |
| No log | 3.0 | 39 | 1.3856 | 0.2828 |
| No log | 4.0 | 52 | 1.3853 | 0.3131 |
| No log | 5.0 | 65 | 1.3851 | 0.3232 |
| No log | 6.0 | 78 | 1.3847 | 0.3131 |
| No log | 7.0 | 91 | 1.3836 | 0.3384 |
| No log | 8.0 | 104 | 1.3803 | 0.3636 |
| No log | 9.0 | 117 | 1.3556 | 0.4545 |
| No log | 10.0 | 130 | 1.0943 | 0.6414 |
| No log | 11.0 | 143 | 0.8911 | 0.7374 |
| No log | 12.0 | 156 | 0.6231 | 0.7475 |
| No log | 13.0 | 169 | 0.4360 | 0.8384 |
| No log | 14.0 | 182 | 0.3315 | 0.8889 |
| No log | 15.0 | 195 | 0.2405 | 0.9444 |
| No log | 16.0 | 208 | 0.1650 | 0.9697 |
| No log | 17.0 | 221 | 0.1396 | 0.9444 |
| No log | 18.0 | 234 | 0.1169 | 0.9646 |
| No log | 19.0 | 247 | 0.1054 | 0.9545 |
| No log | 20.0 | 260 | 0.1236 | 0.9697 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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