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---
library_name: peft
base_model: roneneldan/TinyStories-1M
tags:
- generated_from_trainer
model-index:
- name: test_1M_1-2025-02-18-14-21
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_1-2025-02-18-14-21
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: 2.7856
## 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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0635 | 0.5 | 297 | 2.9508 |
| 2.9856 | 1.0 | 594 | 2.8973 |
| 2.8633 | 1.5 | 891 | 2.8620 |
| 2.8463 | 2.0 | 1188 | 2.8442 |
| 2.8592 | 2.5 | 1485 | 2.8335 |
| 2.9088 | 3.0 | 1782 | 2.8218 |
| 2.7705 | 3.5 | 2079 | 2.8176 |
| 2.8045 | 4.0 | 2376 | 2.8065 |
| 2.822 | 4.5 | 2673 | 2.8003 |
| 2.9149 | 5.0 | 2970 | 2.7917 |
| 2.6928 | 5.5 | 3267 | 2.7886 |
| 2.9345 | 6.0 | 3564 | 2.7856 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |