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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-swag10000-distill-of-fresh-2-layer-gpqa_EVAL_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-2-layer-swag10000-distill-of-fresh-2-layer-gpqa_EVAL_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: 14.9335
- Accuracy: 0.4646
## 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 | 0.32 | 100 | 15.8202 | 0.2778 |
| No log | 0.64 | 200 | 14.7041 | 0.3384 |
| No log | 0.96 | 300 | 16.9031 | 0.3737 |
| No log | 1.28 | 400 | 18.0978 | 0.4141 |
| 2.1655 | 1.6 | 500 | 16.5271 | 0.4040 |
| 2.1655 | 1.92 | 600 | 14.4014 | 0.3990 |
| 2.1655 | 2.24 | 700 | 19.0358 | 0.4242 |
| 2.1655 | 2.56 | 800 | 14.9314 | 0.4192 |
| 2.1655 | 2.88 | 900 | 14.9335 | 0.4646 |
| 0.5334 | 3.19 | 1000 | 15.1769 | 0.4596 |
| 0.5334 | 3.51 | 1100 | 15.4032 | 0.4343 |
| 0.5334 | 3.83 | 1200 | 13.1365 | 0.4646 |
| 0.5334 | 4.15 | 1300 | 12.7464 | 0.4394 |
| 0.5334 | 4.47 | 1400 | 13.5877 | 0.4545 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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