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---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M500KInfSimple
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. -->
# Se124M500KInfSimple
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: 0.4475
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1287 | 1.0 | 8317 | 0.5023 |
| 0.1249 | 2.0 | 16634 | 0.4836 |
| 0.1214 | 3.0 | 24951 | 0.4746 |
| 0.1225 | 4.0 | 33268 | 0.4691 |
| 0.1212 | 5.0 | 41585 | 0.4653 |
| 0.1192 | 6.0 | 49902 | 0.4625 |
| 0.1203 | 7.0 | 58219 | 0.4595 |
| 0.1182 | 8.0 | 66536 | 0.4579 |
| 0.117 | 9.0 | 74853 | 0.4565 |
| 0.1184 | 10.0 | 83170 | 0.4543 |
| 0.1165 | 11.0 | 91487 | 0.4539 |
| 0.116 | 12.0 | 99804 | 0.4528 |
| 0.117 | 13.0 | 108121 | 0.4515 |
| 0.1161 | 14.0 | 116438 | 0.4512 |
| 0.1149 | 15.0 | 124755 | 0.4510 |
| 0.1157 | 16.0 | 133072 | 0.4503 |
| 0.1162 | 17.0 | 141389 | 0.4497 |
| 0.1155 | 18.0 | 149706 | 0.4497 |
| 0.115 | 19.0 | 158023 | 0.4496 |
| 0.1156 | 20.0 | 166340 | 0.4488 |
| 0.1156 | 21.0 | 174657 | 0.4492 |
| 0.114 | 22.0 | 182974 | 0.4483 |
| 0.1122 | 23.0 | 191291 | 0.4488 |
| 0.1134 | 24.0 | 199608 | 0.4480 |
| 0.114 | 25.0 | 207925 | 0.4476 |
| 0.1159 | 26.0 | 216242 | 0.4481 |
| 0.115 | 27.0 | 224559 | 0.4475 |
| 0.1145 | 28.0 | 232876 | 0.4475 |
| 0.1141 | 29.0 | 241193 | 0.4477 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |