---
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