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---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: js-fake-bach-epochs20
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. -->
# js-fake-bach-epochs20
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5800
- Accuracy: 0.0015
## 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: 0.0006058454513356471
- train_batch_size: 16
- eval_batch_size: 32
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2488 | 1.25 | 315 | 0.8243 | 0.0009 |
| 0.8134 | 2.51 | 630 | 0.7738 | 0.0010 |
| 0.7677 | 3.76 | 945 | 0.7396 | 0.0002 |
| 0.7314 | 5.02 | 1260 | 0.7088 | 0.0006 |
| 0.692 | 6.27 | 1575 | 0.6734 | 0.0009 |
| 0.6545 | 7.53 | 1890 | 0.6414 | 0.0010 |
| 0.6175 | 8.78 | 2205 | 0.6071 | 0.0008 |
| 0.5782 | 10.04 | 2520 | 0.5945 | 0.0017 |
| 0.5385 | 11.29 | 2835 | 0.5838 | 0.0009 |
| 0.5026 | 12.55 | 3150 | 0.5722 | 0.0013 |
| 0.4694 | 13.8 | 3465 | 0.5676 | 0.0011 |
| 0.4389 | 15.06 | 3780 | 0.5713 | 0.0011 |
| 0.4083 | 16.31 | 4095 | 0.5761 | 0.0015 |
| 0.389 | 17.57 | 4410 | 0.5790 | 0.0015 |
| 0.3771 | 18.82 | 4725 | 0.5800 | 0.0015 |
### Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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