---
library_name: transformers
base_model: roneneldan/TinyStories-1M
tags:
- generated_from_trainer
model-index:
- name: tinylm1M-stella-1sent_7clust-2025-04-04-10-59
  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. -->

# tinylm1M-stella-1sent_7clust-2025-04-04-10-59

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: 2.1562

## 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: 20

### Training results

| Training Loss | Epoch   | Step  | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 2.7692        | 0.8418  | 500   | 2.7326          |
| 2.6961        | 1.6835  | 1000  | 2.6561          |
| 2.6946        | 2.5253  | 1500  | 2.5939          |
| 2.5652        | 3.3670  | 2000  | 2.5444          |
| 2.4536        | 4.2088  | 2500  | 2.5000          |
| 2.3997        | 5.0505  | 3000  | 2.4603          |
| 2.367         | 5.8923  | 3500  | 2.4195          |
| 2.3524        | 6.7340  | 4000  | 2.3835          |
| 2.3037        | 7.5758  | 4500  | 2.3521          |
| 2.3132        | 8.4175  | 5000  | 2.3214          |
| 2.2283        | 9.2593  | 5500  | 2.2926          |
| 2.2375        | 10.1010 | 6000  | 2.2677          |
| 2.2524        | 10.9428 | 6500  | 2.2476          |
| 2.2354        | 11.7845 | 7000  | 2.2276          |
| 2.2423        | 12.6263 | 7500  | 2.2115          |
| 2.1026        | 13.4680 | 8000  | 2.1999          |
| 2.185         | 14.3098 | 8500  | 2.1881          |
| 2.2715        | 15.1515 | 9000  | 2.1787          |
| 2.1238        | 15.9933 | 9500  | 2.1722          |
| 2.2301        | 16.8350 | 10000 | 2.1662          |
| 2.1064        | 17.6768 | 10500 | 2.1617          |
| 2.1278        | 18.5185 | 11000 | 2.1600          |
| 2.0481        | 19.3603 | 11500 | 2.1562          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1