metadata
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: debiased_gpt_2
results: []
debiased_gpt_2
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6430
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 1.9343 |
| No log | 2.0 | 8 | 1.8912 |
| No log | 3.0 | 12 | 1.6980 |
| No log | 4.0 | 16 | 1.5873 |
| No log | 5.0 | 20 | 1.5396 |
| No log | 6.0 | 24 | 1.4100 |
| No log | 7.0 | 28 | 1.3086 |
| No log | 8.0 | 32 | 1.2451 |
| No log | 9.0 | 36 | 1.1922 |
| No log | 10.0 | 40 | 1.0959 |
| No log | 11.0 | 44 | 1.0326 |
| No log | 12.0 | 48 | 0.9796 |
| No log | 13.0 | 52 | 0.9345 |
| No log | 14.0 | 56 | 0.9033 |
| No log | 15.0 | 60 | 0.8493 |
| No log | 16.0 | 64 | 0.8235 |
| No log | 17.0 | 68 | 0.8197 |
| No log | 18.0 | 72 | 0.7852 |
| No log | 19.0 | 76 | 0.7588 |
| No log | 20.0 | 80 | 0.7384 |
| No log | 21.0 | 84 | 0.7320 |
| No log | 22.0 | 88 | 0.7220 |
| No log | 23.0 | 92 | 0.7097 |
| No log | 24.0 | 96 | 0.7019 |
| No log | 25.0 | 100 | 0.6938 |
| No log | 26.0 | 104 | 0.6912 |
| No log | 27.0 | 108 | 0.6869 |
| No log | 28.0 | 112 | 0.6760 |
| No log | 29.0 | 116 | 0.6719 |
| No log | 30.0 | 120 | 0.6732 |
| No log | 31.0 | 124 | 0.6657 |
| No log | 32.0 | 128 | 0.6610 |
| No log | 33.0 | 132 | 0.6611 |
| No log | 34.0 | 136 | 0.6624 |
| No log | 35.0 | 140 | 0.6622 |
| No log | 36.0 | 144 | 0.6595 |
| No log | 37.0 | 148 | 0.6564 |
| No log | 38.0 | 152 | 0.6523 |
| No log | 39.0 | 156 | 0.6498 |
| No log | 40.0 | 160 | 0.6493 |
| No log | 41.0 | 164 | 0.6502 |
| No log | 42.0 | 168 | 0.6503 |
| No log | 43.0 | 172 | 0.6485 |
| No log | 44.0 | 176 | 0.6471 |
| No log | 45.0 | 180 | 0.6466 |
| No log | 46.0 | 184 | 0.6458 |
| No log | 47.0 | 188 | 0.6449 |
| No log | 48.0 | 192 | 0.6438 |
| No log | 49.0 | 196 | 0.6432 |
| No log | 50.0 | 200 | 0.6430 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3