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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-qasc5000-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-qasc5000-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: 14.9541
- Accuracy: 0.4949
## 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 | 0.64 | 100 | 14.0782 | 0.3131 |
| No log | 1.27 | 200 | 15.6534 | 0.4596 |
| No log | 1.91 | 300 | 16.2410 | 0.4293 |
| No log | 2.55 | 400 | 14.4394 | 0.4495 |
| 1.861 | 3.18 | 500 | 15.1088 | 0.4646 |
| 1.861 | 3.82 | 600 | 14.4621 | 0.4848 |
| 1.861 | 4.46 | 700 | 15.0037 | 0.4596 |
| 1.861 | 5.1 | 800 | 15.6656 | 0.4293 |
| 1.861 | 5.73 | 900 | 15.1955 | 0.4343 |
| 0.2711 | 6.37 | 1000 | 14.9541 | 0.4949 |
| 0.2711 | 7.01 | 1100 | 14.5891 | 0.4646 |
| 0.2711 | 7.64 | 1200 | 15.4136 | 0.4747 |
| 0.2711 | 8.28 | 1300 | 15.4486 | 0.4697 |
| 0.2711 | 8.92 | 1400 | 14.5015 | 0.4848 |
| 0.1568 | 9.55 | 1500 | 14.2260 | 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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