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---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M100KInfDelimiter
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. -->
# Se124M100KInfDelimiter
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4823
## 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
- optimizer: Use OptimizerNames.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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1538 | 1.0 | 2090 | 0.5678 |
| 0.1412 | 2.0 | 4180 | 0.5413 |
| 0.1405 | 3.0 | 6270 | 0.5325 |
| 0.1355 | 4.0 | 8360 | 0.5241 |
| 0.1364 | 5.0 | 10450 | 0.5211 |
| 0.1341 | 6.0 | 12540 | 0.5170 |
| 0.1312 | 7.0 | 14630 | 0.5123 |
| 0.1304 | 8.0 | 16720 | 0.5078 |
| 0.1301 | 9.0 | 18810 | 0.5064 |
| 0.1286 | 10.0 | 20900 | 0.5058 |
| 0.1308 | 11.0 | 22990 | 0.5022 |
| 0.1292 | 12.0 | 25080 | 0.5007 |
| 0.1287 | 13.0 | 27170 | 0.5005 |
| 0.1306 | 14.0 | 29260 | 0.4976 |
| 0.1312 | 15.0 | 31350 | 0.4975 |
| 0.1268 | 16.0 | 33440 | 0.4963 |
| 0.1267 | 17.0 | 35530 | 0.4944 |
| 0.1273 | 18.0 | 37620 | 0.4932 |
| 0.1243 | 19.0 | 39710 | 0.4925 |
| 0.1266 | 20.0 | 41800 | 0.4912 |
| 0.127 | 21.0 | 43890 | 0.4914 |
| 0.1278 | 22.0 | 45980 | 0.4905 |
| 0.1276 | 23.0 | 48070 | 0.4899 |
| 0.1285 | 24.0 | 50160 | 0.4888 |
| 0.1264 | 25.0 | 52250 | 0.4889 |
| 0.1256 | 26.0 | 54340 | 0.4881 |
| 0.1251 | 27.0 | 56430 | 0.4876 |
| 0.1291 | 28.0 | 58520 | 0.4869 |
| 0.1254 | 29.0 | 60610 | 0.4867 |
| 0.1268 | 30.0 | 62700 | 0.4863 |
| 0.1247 | 31.0 | 64790 | 0.4857 |
| 0.126 | 32.0 | 66880 | 0.4855 |
| 0.1262 | 33.0 | 68970 | 0.4852 |
| 0.1257 | 34.0 | 71060 | 0.4848 |
| 0.1246 | 35.0 | 73150 | 0.4846 |
| 0.1261 | 36.0 | 75240 | 0.4839 |
| 0.1269 | 37.0 | 77330 | 0.4839 |
| 0.1244 | 38.0 | 79420 | 0.4836 |
| 0.1243 | 39.0 | 81510 | 0.4836 |
| 0.1256 | 40.0 | 83600 | 0.4834 |
| 0.1237 | 41.0 | 85690 | 0.4827 |
| 0.1244 | 42.0 | 87780 | 0.4833 |
| 0.1234 | 43.0 | 89870 | 0.4828 |
| 0.1255 | 44.0 | 91960 | 0.4824 |
| 0.1272 | 45.0 | 94050 | 0.4826 |
| 0.1258 | 46.0 | 96140 | 0.4824 |
| 0.1264 | 47.0 | 98230 | 0.4825 |
| 0.1236 | 48.0 | 100320 | 0.4824 |
| 0.1254 | 49.0 | 102410 | 0.4825 |
| 0.1242 | 50.0 | 104500 | 0.4823 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |