---
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