ds9_all
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4079
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: 1.372e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 3138344630
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1261 | 13.0 | 8619 | 3.4600 |
| 1.141 | 14.0 | 9282 | 3.4634 |
| 1.1278 | 15.0 | 9945 | 3.4665 |
| 1.1183 | 16.0 | 10608 | 3.4697 |
| 1.1048 | 17.0 | 11271 | 3.4714 |
| 1.1061 | 18.0 | 11934 | 3.4752 |
| 1.1471 | 19.0 | 12597 | 3.4773 |
| 1.1402 | 20.0 | 13260 | 3.4798 |
| 1.0847 | 21.0 | 13923 | 3.4811 |
| 1.1462 | 22.0 | 14586 | 3.4841 |
| 1.1107 | 23.0 | 15249 | 3.4852 |
| 1.1192 | 24.0 | 15912 | 3.4873 |
| 1.0868 | 25.0 | 16575 | 3.4879 |
| 1.1313 | 26.0 | 17238 | 3.4898 |
| 1.1033 | 27.0 | 17901 | 3.4915 |
| 1.1578 | 28.0 | 18564 | 3.4939 |
| 1.0987 | 29.0 | 19227 | 3.4947 |
| 1.0779 | 30.0 | 19890 | 3.4972 |
| 1.3567 | 61.0 | 20191 | 3.4576 |
| 1.3278 | 62.0 | 20522 | 3.4528 |
| 1.3292 | 63.0 | 20853 | 3.4468 |
| 1.3285 | 64.0 | 21184 | 3.4431 |
| 1.3032 | 65.0 | 21515 | 3.4370 |
| 1.318 | 66.0 | 21846 | 3.4345 |
| 1.3003 | 67.0 | 22177 | 3.4289 |
| 1.3202 | 68.0 | 22508 | 3.4274 |
| 1.2643 | 69.0 | 22839 | 3.4232 |
| 1.2862 | 70.0 | 23170 | 3.4223 |
| 1.2597 | 71.0 | 23501 | 3.4186 |
| 1.2426 | 72.0 | 23832 | 3.4176 |
| 1.2539 | 73.0 | 24163 | 3.4152 |
| 1.2604 | 74.0 | 24494 | 3.4147 |
| 1.263 | 75.0 | 24825 | 3.4128 |
| 1.2642 | 76.0 | 25156 | 3.4127 |
| 1.2694 | 77.0 | 25487 | 3.4109 |
| 1.2251 | 78.0 | 25818 | 3.4106 |
| 1.2673 | 79.0 | 26149 | 3.4097 |
| 1.233 | 80.0 | 26480 | 3.4096 |
| 1.2408 | 81.0 | 26811 | 3.4087 |
| 1.2579 | 82.0 | 27142 | 3.4088 |
| 1.2346 | 83.0 | 27473 | 3.4081 |
| 1.2298 | 84.0 | 27804 | 3.4082 |
| 1.219 | 85.0 | 28135 | 3.4079 |
| 1.2515 | 86.0 | 28466 | 3.4080 |
| 1.2316 | 87.0 | 28797 | 3.4084 |
| 1.2085 | 88.0 | 29128 | 3.4085 |
| 1.2334 | 89.0 | 29459 | 3.4085 |
| 1.2263 | 90.0 | 29790 | 3.4084 |
| 1.2312 | 91.0 | 30121 | 3.4084 |
| 1.2584 | 92.0 | 30452 | 3.4086 |
| 1.2106 | 93.0 | 30783 | 3.4089 |
| 1.2078 | 94.0 | 31114 | 3.4091 |
| 1.2329 | 95.0 | 31445 | 3.4090 |
| 1.1836 | 96.0 | 31776 | 3.4097 |
| 1.2135 | 97.0 | 32107 | 3.4097 |
| 1.2372 | 98.0 | 32438 | 3.4099 |
| 1.2163 | 99.0 | 32769 | 3.4107 |
| 1.1937 | 100.0 | 33100 | 3.4110 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.15.1
- Tokenizers 0.10.3
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