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---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M100KInfSimple
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. -->
# Se124M100KInfSimple
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: 0.4582
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1445 | 1.0 | 2205 | 0.5442 |
| 0.1358 | 2.0 | 4410 | 0.5179 |
| 0.1317 | 3.0 | 6615 | 0.5090 |
| 0.1297 | 4.0 | 8820 | 0.5015 |
| 0.1299 | 5.0 | 11025 | 0.4954 |
| 0.1301 | 6.0 | 13230 | 0.4917 |
| 0.1258 | 7.0 | 15435 | 0.4875 |
| 0.1254 | 8.0 | 17640 | 0.4834 |
| 0.1231 | 9.0 | 19845 | 0.4816 |
| 0.1254 | 10.0 | 22050 | 0.4798 |
| 0.125 | 11.0 | 24255 | 0.4778 |
| 0.1225 | 12.0 | 26460 | 0.4775 |
| 0.1233 | 13.0 | 28665 | 0.4753 |
| 0.1213 | 14.0 | 30870 | 0.4737 |
| 0.1231 | 15.0 | 33075 | 0.4719 |
| 0.1233 | 16.0 | 35280 | 0.4716 |
| 0.1225 | 17.0 | 37485 | 0.4702 |
| 0.1218 | 18.0 | 39690 | 0.4696 |
| 0.1213 | 19.0 | 41895 | 0.4678 |
| 0.1213 | 20.0 | 44100 | 0.4673 |
| 0.121 | 21.0 | 46305 | 0.4675 |
| 0.122 | 22.0 | 48510 | 0.4663 |
| 0.1195 | 23.0 | 50715 | 0.4657 |
| 0.1221 | 24.0 | 52920 | 0.4647 |
| 0.1212 | 25.0 | 55125 | 0.4647 |
| 0.121 | 26.0 | 57330 | 0.4640 |
| 0.1213 | 27.0 | 59535 | 0.4637 |
| 0.1184 | 28.0 | 61740 | 0.4629 |
| 0.12 | 29.0 | 63945 | 0.4627 |
| 0.1191 | 30.0 | 66150 | 0.4622 |
| 0.1195 | 31.0 | 68355 | 0.4624 |
| 0.1188 | 32.0 | 70560 | 0.4619 |
| 0.1202 | 33.0 | 72765 | 0.4620 |
| 0.119 | 34.0 | 74970 | 0.4605 |
| 0.1206 | 35.0 | 77175 | 0.4608 |
| 0.1197 | 36.0 | 79380 | 0.4601 |
| 0.1199 | 37.0 | 81585 | 0.4597 |
| 0.1204 | 38.0 | 83790 | 0.4601 |
| 0.1185 | 39.0 | 85995 | 0.4596 |
| 0.1184 | 40.0 | 88200 | 0.4591 |
| 0.119 | 41.0 | 90405 | 0.4594 |
| 0.1181 | 42.0 | 92610 | 0.4591 |
| 0.1178 | 43.0 | 94815 | 0.4588 |
| 0.1188 | 44.0 | 97020 | 0.4586 |
| 0.1189 | 45.0 | 99225 | 0.4584 |
| 0.1183 | 46.0 | 101430 | 0.4583 |
| 0.1184 | 47.0 | 103635 | 0.4582 |
| 0.1185 | 48.0 | 105840 | 0.4581 |
| 0.1198 | 49.0 | 108045 | 0.4582 |
| 0.1207 | 50.0 | 110250 | 0.4582 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |