---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfDelimiter
  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. -->

# Se124M10KInfDelimiter

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: 0.5435

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3814        | 1.0   | 225   | 0.9747          |
| 0.2215        | 2.0   | 450   | 0.7053          |
| 0.1876        | 3.0   | 675   | 0.6494          |
| 0.1711        | 4.0   | 900   | 0.6211          |
| 0.1655        | 5.0   | 1125  | 0.6091          |
| 0.1611        | 6.0   | 1350  | 0.6025          |
| 0.1577        | 7.0   | 1575  | 0.5935          |
| 0.1553        | 8.0   | 1800  | 0.5883          |
| 0.154         | 9.0   | 2025  | 0.5816          |
| 0.1507        | 10.0  | 2250  | 0.5820          |
| 0.152         | 11.0  | 2475  | 0.5749          |
| 0.1487        | 12.0  | 2700  | 0.5773          |
| 0.1493        | 13.0  | 2925  | 0.5708          |
| 0.1457        | 14.0  | 3150  | 0.5685          |
| 0.1459        | 15.0  | 3375  | 0.5670          |
| 0.1442        | 16.0  | 3600  | 0.5670          |
| 0.1468        | 17.0  | 3825  | 0.5643          |
| 0.1444        | 18.0  | 4050  | 0.5608          |
| 0.1424        | 19.0  | 4275  | 0.5586          |
| 0.1439        | 20.0  | 4500  | 0.5606          |
| 0.1446        | 21.0  | 4725  | 0.5572          |
| 0.1428        | 22.0  | 4950  | 0.5575          |
| 0.1422        | 23.0  | 5175  | 0.5554          |
| 0.14          | 24.0  | 5400  | 0.5542          |
| 0.1395        | 25.0  | 5625  | 0.5545          |
| 0.1418        | 26.0  | 5850  | 0.5535          |
| 0.1393        | 27.0  | 6075  | 0.5504          |
| 0.1417        | 28.0  | 6300  | 0.5514          |
| 0.1419        | 29.0  | 6525  | 0.5516          |
| 0.1392        | 30.0  | 6750  | 0.5501          |
| 0.1403        | 31.0  | 6975  | 0.5492          |
| 0.1403        | 32.0  | 7200  | 0.5484          |
| 0.1414        | 33.0  | 7425  | 0.5476          |
| 0.1411        | 34.0  | 7650  | 0.5491          |
| 0.1379        | 35.0  | 7875  | 0.5467          |
| 0.1376        | 36.0  | 8100  | 0.5468          |
| 0.1393        | 37.0  | 8325  | 0.5454          |
| 0.1376        | 38.0  | 8550  | 0.5454          |
| 0.1388        | 39.0  | 8775  | 0.5459          |
| 0.1377        | 40.0  | 9000  | 0.5452          |
| 0.1409        | 41.0  | 9225  | 0.5447          |
| 0.1402        | 42.0  | 9450  | 0.5442          |
| 0.1401        | 43.0  | 9675  | 0.5445          |
| 0.1381        | 44.0  | 9900  | 0.5441          |
| 0.1371        | 45.0  | 10125 | 0.5444          |
| 0.1379        | 46.0  | 10350 | 0.5440          |
| 0.1369        | 47.0  | 10575 | 0.5437          |
| 0.1387        | 48.0  | 10800 | 0.5437          |
| 0.1379        | 49.0  | 11025 | 0.5438          |
| 0.1364        | 50.0  | 11250 | 0.5435          |


### Framework versions

- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1