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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa-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-medmcqa-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: 8.0989
- Accuracy: 0.6566
## 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 | 125 | 13.0027 | 0.4747 |
| No log | 2.0 | 250 | 10.8183 | 0.5404 |
| No log | 3.0 | 375 | 11.0325 | 0.5909 |
| 3.3093 | 4.0 | 500 | 11.0605 | 0.5808 |
| 3.3093 | 5.0 | 625 | 9.5436 | 0.5758 |
| 3.3093 | 6.0 | 750 | 9.1106 | 0.6515 |
| 3.3093 | 7.0 | 875 | 8.4697 | 0.6212 |
| 0.675 | 8.0 | 1000 | 9.1724 | 0.6212 |
| 0.675 | 9.0 | 1125 | 8.4508 | 0.6515 |
| 0.675 | 10.0 | 1250 | 8.5147 | 0.6111 |
| 0.675 | 11.0 | 1375 | 8.4648 | 0.6414 |
| 0.2645 | 12.0 | 1500 | 8.2626 | 0.6515 |
| 0.2645 | 13.0 | 1625 | 8.2865 | 0.6515 |
| 0.2645 | 14.0 | 1750 | 8.1180 | 0.6465 |
| 0.2645 | 15.0 | 1875 | 8.5052 | 0.6414 |
| 0.1402 | 16.0 | 2000 | 7.9762 | 0.6515 |
| 0.1402 | 17.0 | 2125 | 8.1063 | 0.6515 |
| 0.1402 | 18.0 | 2250 | 8.0695 | 0.6515 |
| 0.1402 | 19.0 | 2375 | 8.0989 | 0.6566 |
| 0.07 | 20.0 | 2500 | 8.0972 | 0.6566 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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