---
library_name: peft
base_model: roneneldan/TinyStories-1M
tags:
- generated_from_trainer
model-index:
- name: test_1M_1-2025-02-14-16-07
  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_1-2025-02-14-16-07

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: 2.3833

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5273        | 0.5   | 297  | 2.4519          |
| 2.472         | 1.0   | 594  | 2.4306          |
| 2.4052        | 1.5   | 891  | 2.4192          |
| 2.4047        | 2.0   | 1188 | 2.4094          |
| 2.4267        | 2.5   | 1485 | 2.4051          |
| 2.4885        | 3.0   | 1782 | 2.3986          |
| 2.3402        | 3.5   | 2079 | 2.3992          |
| 2.3986        | 4.0   | 2376 | 2.3945          |
| 2.4204        | 4.5   | 2673 | 2.3918          |
| 2.4407        | 5.0   | 2970 | 2.3904          |
| 2.2497        | 5.5   | 3267 | 2.3913          |
| 2.5282        | 6.0   | 3564 | 2.3892          |
| 2.3114        | 6.5   | 3861 | 2.3884          |
| 2.4029        | 7.0   | 4158 | 2.3856          |
| 2.2773        | 7.5   | 4455 | 2.3835          |
| 2.3677        | 8.0   | 4752 | 2.3833          |


### Framework versions

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