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--- |
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library_name: peft |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Se124M100KInfDelimiter |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Se124M100KInfDelimiter |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4823 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.1538 | 1.0 | 2090 | 0.5678 | |
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| 0.1412 | 2.0 | 4180 | 0.5413 | |
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| 0.1405 | 3.0 | 6270 | 0.5325 | |
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| 0.1355 | 4.0 | 8360 | 0.5241 | |
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| 0.1364 | 5.0 | 10450 | 0.5211 | |
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| 0.1341 | 6.0 | 12540 | 0.5170 | |
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| 0.1312 | 7.0 | 14630 | 0.5123 | |
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| 0.1304 | 8.0 | 16720 | 0.5078 | |
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| 0.1301 | 9.0 | 18810 | 0.5064 | |
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| 0.1286 | 10.0 | 20900 | 0.5058 | |
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| 0.1308 | 11.0 | 22990 | 0.5022 | |
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| 0.1292 | 12.0 | 25080 | 0.5007 | |
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| 0.1287 | 13.0 | 27170 | 0.5005 | |
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| 0.1306 | 14.0 | 29260 | 0.4976 | |
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| 0.1312 | 15.0 | 31350 | 0.4975 | |
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| 0.1268 | 16.0 | 33440 | 0.4963 | |
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| 0.1267 | 17.0 | 35530 | 0.4944 | |
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| 0.1273 | 18.0 | 37620 | 0.4932 | |
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| 0.1243 | 19.0 | 39710 | 0.4925 | |
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| 0.1266 | 20.0 | 41800 | 0.4912 | |
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| 0.127 | 21.0 | 43890 | 0.4914 | |
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| 0.1278 | 22.0 | 45980 | 0.4905 | |
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| 0.1276 | 23.0 | 48070 | 0.4899 | |
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| 0.1285 | 24.0 | 50160 | 0.4888 | |
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| 0.1264 | 25.0 | 52250 | 0.4889 | |
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| 0.1256 | 26.0 | 54340 | 0.4881 | |
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| 0.1251 | 27.0 | 56430 | 0.4876 | |
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| 0.1291 | 28.0 | 58520 | 0.4869 | |
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| 0.1254 | 29.0 | 60610 | 0.4867 | |
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| 0.1268 | 30.0 | 62700 | 0.4863 | |
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| 0.1247 | 31.0 | 64790 | 0.4857 | |
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| 0.126 | 32.0 | 66880 | 0.4855 | |
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| 0.1262 | 33.0 | 68970 | 0.4852 | |
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| 0.1257 | 34.0 | 71060 | 0.4848 | |
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| 0.1246 | 35.0 | 73150 | 0.4846 | |
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| 0.1261 | 36.0 | 75240 | 0.4839 | |
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| 0.1269 | 37.0 | 77330 | 0.4839 | |
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| 0.1244 | 38.0 | 79420 | 0.4836 | |
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| 0.1243 | 39.0 | 81510 | 0.4836 | |
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| 0.1256 | 40.0 | 83600 | 0.4834 | |
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| 0.1237 | 41.0 | 85690 | 0.4827 | |
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| 0.1244 | 42.0 | 87780 | 0.4833 | |
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| 0.1234 | 43.0 | 89870 | 0.4828 | |
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| 0.1255 | 44.0 | 91960 | 0.4824 | |
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| 0.1272 | 45.0 | 94050 | 0.4826 | |
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| 0.1258 | 46.0 | 96140 | 0.4824 | |
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| 0.1264 | 47.0 | 98230 | 0.4825 | |
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| 0.1236 | 48.0 | 100320 | 0.4824 | |
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| 0.1254 | 49.0 | 102410 | 0.4825 | |
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| 0.1242 | 50.0 | 104500 | 0.4823 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
