---
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