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license: mit
tags:
- generated_from_trainer
model-index:
- name: Romance-cleaned-3
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-3
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: 4.9593
## 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 | 1.0 | 16 | 10.0173 |
| No log | 2.0 | 32 | 9.1598 |
| No log | 3.0 | 48 | 8.6820 |
| No log | 4.0 | 64 | 8.3963 |
| No log | 5.0 | 80 | 8.1259 |
| No log | 6.0 | 96 | 7.9259 |
| No log | 7.0 | 112 | 7.6943 |
| No log | 8.0 | 128 | 7.4803 |
| No log | 9.0 | 144 | 7.2883 |
| No log | 10.0 | 160 | 7.1145 |
| No log | 11.0 | 176 | 6.9568 |
| No log | 12.0 | 192 | 6.8000 |
| No log | 13.0 | 208 | 6.6515 |
| No log | 14.0 | 224 | 6.5033 |
| No log | 15.0 | 240 | 6.3471 |
| No log | 16.0 | 256 | 6.2029 |
| No log | 17.0 | 272 | 6.0583 |
| No log | 18.0 | 288 | 5.9173 |
| No log | 19.0 | 304 | 5.7819 |
| No log | 20.0 | 320 | 5.6710 |
| No log | 21.0 | 336 | 5.5588 |
| No log | 22.0 | 352 | 5.4729 |
| No log | 23.0 | 368 | 5.3980 |
| No log | 24.0 | 384 | 5.3261 |
| No log | 25.0 | 400 | 5.2801 |
| No log | 26.0 | 416 | 5.2317 |
| No log | 27.0 | 432 | 5.1942 |
| No log | 28.0 | 448 | 5.1523 |
| No log | 29.0 | 464 | 5.1235 |
| No log | 30.0 | 480 | 5.1008 |
| No log | 31.0 | 496 | 5.0667 |
| No log | 32.0 | 512 | 5.0472 |
| No log | 33.0 | 528 | 5.0252 |
| No log | 34.0 | 544 | 5.0143 |
| No log | 35.0 | 560 | 5.0049 |
| No log | 36.0 | 576 | 4.9938 |
| No log | 37.0 | 592 | 4.9827 |
| No log | 38.0 | 608 | 4.9719 |
| No log | 39.0 | 624 | 4.9666 |
| No log | 40.0 | 640 | 4.9540 |
| No log | 41.0 | 656 | 4.9549 |
| No log | 42.0 | 672 | 4.9485 |
| No log | 43.0 | 688 | 4.9602 |
| No log | 44.0 | 704 | 4.9464 |
| No log | 45.0 | 720 | 4.9592 |
| No log | 46.0 | 736 | 4.9611 |
| No log | 47.0 | 752 | 4.9558 |
| No log | 48.0 | 768 | 4.9659 |
| No log | 49.0 | 784 | 4.9739 |
| No log | 50.0 | 800 | 4.9593 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|