---
library_name: peft
base_model: roneneldan/TinyStories-1M
tags:
- generated_from_trainer
model-index:
- name: test_1M_1-2025-02-13-16-57
  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. -->

# test_1M_1-2025-02-13-16-57

This model is a fine-tuned version of [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5458

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.5623        | 0.5   | 297   | 2.6254          |
| 2.6957        | 1.0   | 594   | 2.6033          |
| 2.533         | 1.5   | 891   | 2.5928          |
| 2.583         | 2.0   | 1188  | 2.5871          |
| 2.4467        | 2.5   | 1485  | 2.5803          |
| 2.5157        | 3.0   | 1782  | 2.5742          |
| 2.5378        | 3.5   | 2079  | 2.5718          |
| 2.4285        | 4.0   | 2376  | 2.5732          |
| 2.4606        | 4.5   | 2673  | 2.5643          |
| 2.5373        | 5.0   | 2970  | 2.5660          |
| 2.5087        | 5.5   | 3267  | 2.5616          |
| 2.5158        | 6.0   | 3564  | 2.5620          |
| 2.4755        | 6.5   | 3861  | 2.5607          |
| 2.5964        | 7.0   | 4158  | 2.5595          |
| 2.54          | 7.5   | 4455  | 2.5608          |
| 2.5001        | 8.0   | 4752  | 2.5558          |
| 2.4152        | 8.5   | 5049  | 2.5562          |
| 2.5635        | 9.0   | 5346  | 2.5559          |
| 2.5722        | 9.5   | 5643  | 2.5550          |
| 2.5334        | 10.0  | 5940  | 2.5533          |
| 2.5433        | 10.5  | 6237  | 2.5540          |
| 2.4406        | 11.0  | 6534  | 2.5531          |
| 2.5045        | 11.5  | 6831  | 2.5528          |
| 2.5424        | 12.0  | 7128  | 2.5529          |
| 2.4114        | 12.5  | 7425  | 2.5508          |
| 2.4601        | 13.0  | 7722  | 2.5494          |
| 2.4751        | 13.5  | 8019  | 2.5519          |
| 2.4457        | 14.0  | 8316  | 2.5519          |
| 2.5539        | 14.5  | 8613  | 2.5500          |
| 2.6792        | 15.0  | 8910  | 2.5500          |
| 2.5712        | 15.5  | 9207  | 2.5498          |
| 2.4492        | 16.0  | 9504  | 2.5476          |
| 2.4512        | 16.5  | 9801  | 2.5481          |
| 2.417         | 17.0  | 10098 | 2.5482          |
| 2.5693        | 17.5  | 10395 | 2.5478          |
| 2.5358        | 18.0  | 10692 | 2.5482          |
| 2.4265        | 18.5  | 10989 | 2.5477          |
| 2.4858        | 19.0  | 11286 | 2.5475          |
| 2.4319        | 19.5  | 11583 | 2.5471          |
| 2.4089        | 20.0  | 11880 | 2.5458          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0