File size: 3,857 Bytes
eb38a11 b88c776 4095a7d eb38a11 b88c776 eb38a11 4095a7d eb38a11 b88c776 4095a7d eb38a11 4095a7d eb38a11 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Romance-cleaned-2
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-2
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: 5.0319
## 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 | 0.96 | 16 | 10.3553 |
| No log | 1.96 | 32 | 9.5625 |
| No log | 2.96 | 48 | 9.0898 |
| No log | 3.96 | 64 | 8.7852 |
| No log | 4.96 | 80 | 8.4694 |
| No log | 5.96 | 96 | 8.2122 |
| No log | 6.96 | 112 | 8.0040 |
| No log | 7.96 | 128 | 7.8029 |
| No log | 8.96 | 144 | 7.5950 |
| No log | 9.96 | 160 | 7.4081 |
| No log | 10.96 | 176 | 7.2391 |
| No log | 11.96 | 192 | 7.0784 |
| No log | 12.96 | 208 | 6.9139 |
| No log | 13.96 | 224 | 6.7530 |
| No log | 14.96 | 240 | 6.5983 |
| No log | 15.96 | 256 | 6.4403 |
| No log | 16.96 | 272 | 6.3025 |
| No log | 17.96 | 288 | 6.1562 |
| No log | 18.96 | 304 | 6.0147 |
| No log | 19.96 | 320 | 5.8919 |
| No log | 20.96 | 336 | 5.7709 |
| No log | 21.96 | 352 | 5.6666 |
| No log | 22.96 | 368 | 5.5818 |
| No log | 23.96 | 384 | 5.5051 |
| No log | 24.96 | 400 | 5.4356 |
| No log | 25.96 | 416 | 5.3788 |
| No log | 26.96 | 432 | 5.3230 |
| No log | 27.96 | 448 | 5.2823 |
| No log | 28.96 | 464 | 5.2513 |
| No log | 29.96 | 480 | 5.2218 |
| No log | 30.96 | 496 | 5.1910 |
| No log | 31.96 | 512 | 5.1609 |
| No log | 32.96 | 528 | 5.1500 |
| No log | 33.96 | 544 | 5.1268 |
| No log | 34.96 | 560 | 5.1012 |
| No log | 35.96 | 576 | 5.0973 |
| No log | 36.96 | 592 | 5.0769 |
| No log | 37.96 | 608 | 5.0653 |
| No log | 38.96 | 624 | 5.0489 |
| No log | 39.96 | 640 | 5.0458 |
| No log | 40.96 | 656 | 5.0379 |
| No log | 41.96 | 672 | 5.0347 |
| No log | 42.96 | 688 | 5.0161 |
| No log | 43.96 | 704 | 5.0226 |
| No log | 44.96 | 720 | 5.0215 |
| No log | 45.96 | 736 | 5.0190 |
| No log | 46.96 | 752 | 5.0087 |
| No log | 47.96 | 768 | 5.0309 |
| No log | 48.96 | 784 | 5.0232 |
| No log | 49.96 | 800 | 5.0319 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|