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license: mit
tags:
- generated_from_trainer
model-index:
- name: Romance-cleaned-1
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. -->
# Romance-cleaned-1
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7175
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.97 | 29 | 9.9497 |
| No log | 1.97 | 58 | 9.1816 |
| No log | 2.97 | 87 | 8.5947 |
| No log | 3.97 | 116 | 8.2217 |
| No log | 4.97 | 145 | 7.8354 |
| No log | 5.97 | 174 | 7.5075 |
| No log | 6.97 | 203 | 7.2112 |
| No log | 7.97 | 232 | 6.9077 |
| No log | 8.97 | 261 | 6.5994 |
| No log | 9.97 | 290 | 6.3077 |
| No log | 10.97 | 319 | 6.0416 |
| No log | 11.97 | 348 | 5.8126 |
| No log | 12.97 | 377 | 5.6197 |
| No log | 13.97 | 406 | 5.4789 |
| No log | 14.97 | 435 | 5.3665 |
| No log | 15.97 | 464 | 5.2738 |
| No log | 16.97 | 493 | 5.1942 |
| No log | 17.97 | 522 | 5.1382 |
| No log | 18.97 | 551 | 5.0784 |
| No log | 19.97 | 580 | 5.0347 |
| No log | 20.97 | 609 | 4.9873 |
| No log | 21.97 | 638 | 4.9514 |
| No log | 22.97 | 667 | 4.9112 |
| No log | 23.97 | 696 | 4.8838 |
| No log | 24.97 | 725 | 4.8468 |
| No log | 25.97 | 754 | 4.8221 |
| No log | 26.97 | 783 | 4.7996 |
| No log | 27.97 | 812 | 4.7815 |
| No log | 28.97 | 841 | 4.7606 |
| No log | 29.97 | 870 | 4.7394 |
| No log | 30.97 | 899 | 4.7167 |
| No log | 31.97 | 928 | 4.7140 |
| No log | 32.97 | 957 | 4.6910 |
| No log | 33.97 | 986 | 4.6844 |
| No log | 34.97 | 1015 | 4.6765 |
| No log | 35.97 | 1044 | 4.6687 |
| No log | 36.97 | 1073 | 4.6721 |
| No log | 37.97 | 1102 | 4.6724 |
| No log | 38.97 | 1131 | 4.6629 |
| No log | 39.97 | 1160 | 4.6772 |
| No log | 40.97 | 1189 | 4.6795 |
| No log | 41.97 | 1218 | 4.6788 |
| No log | 42.97 | 1247 | 4.6832 |
| No log | 43.97 | 1276 | 4.6954 |
| No log | 44.97 | 1305 | 4.7009 |
| No log | 45.97 | 1334 | 4.7082 |
| No log | 46.97 | 1363 | 4.7140 |
| No log | 47.97 | 1392 | 4.7158 |
| No log | 48.97 | 1421 | 4.7181 |
| No log | 49.97 | 1450 | 4.7175 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|