---
library_name: transformers
base_model: roneneldan/TinyStories-33M
tags:
- generated_from_trainer
model-index:
- name: test_33M-2025-02-22-00-07
  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_33M-2025-02-22-00-07

This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2483

## 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-06
- 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: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3209        | 0.8418 | 500  | 1.3723          |
| 1.28          | 1.6835 | 1000 | 1.3094          |
| 1.1689        | 2.5253 | 1500 | 1.2605          |
| 0.95          | 3.3670 | 2000 | 1.2331          |
| 0.991         | 4.2088 | 2500 | 1.2277          |
| 0.9692        | 5.0505 | 3000 | 1.2284          |
| 0.9282        | 5.8923 | 3500 | 1.2312          |
| 0.8562        | 6.7340 | 4000 | 1.2369          |
| 0.9935        | 7.5758 | 4500 | 1.2422          |
| 0.8982        | 8.4175 | 5000 | 1.2462          |
| 0.8745        | 9.2593 | 5500 | 1.2483          |


### Framework versions

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