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tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-gpqa-laundry-v2
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. -->
# bert-gpqa-laundry-v2
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: 12.8866
- Accuracy: 0.4978
## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 63 | 16.9548 | 0.2433 |
| No log | 2.0 | 126 | 16.3764 | 0.3527 |
| No log | 3.0 | 189 | 15.3188 | 0.4152 |
| No log | 4.0 | 252 | 14.4714 | 0.4598 |
| No log | 5.0 | 315 | 14.0562 | 0.4375 |
| No log | 6.0 | 378 | 13.5433 | 0.4710 |
| No log | 7.0 | 441 | 13.6167 | 0.4888 |
| 5.5435 | 8.0 | 504 | 13.6008 | 0.4911 |
| 5.5435 | 9.0 | 567 | 12.8866 | 0.4978 |
| 5.5435 | 10.0 | 630 | 12.9454 | 0.4888 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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