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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-arc2000-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-arc2000-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: 13.5990
- Accuracy: 0.4596
## 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 | 1.59 | 100 | 14.0069 | 0.2828 |
| No log | 3.17 | 200 | 15.3225 | 0.4040 |
| No log | 4.76 | 300 | 13.6218 | 0.4040 |
| No log | 6.35 | 400 | 15.3356 | 0.4242 |
| 2.6428 | 7.94 | 500 | 13.0031 | 0.4293 |
| 2.6428 | 9.52 | 600 | 13.0853 | 0.4343 |
| 2.6428 | 11.11 | 700 | 13.6346 | 0.4545 |
| 2.6428 | 12.7 | 800 | 13.1762 | 0.4394 |
| 2.6428 | 14.29 | 900 | 12.9734 | 0.4545 |
| 0.4544 | 15.87 | 1000 | 13.5990 | 0.4596 |
| 0.4544 | 17.46 | 1100 | 13.0461 | 0.4596 |
| 0.4544 | 19.05 | 1200 | 12.0434 | 0.4495 |
| 0.4544 | 20.63 | 1300 | 12.9092 | 0.4343 |
| 0.4544 | 22.22 | 1400 | 12.1925 | 0.4596 |
| 0.2055 | 23.81 | 1500 | 13.0411 | 0.4242 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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