metadata
library_name: transformers
base_model: roneneldan/TinyStories-33M
tags:
- generated_from_trainer
model-index:
- name: test_33M-2025-02-20-23-20
results: []
test_33M-2025-02-20-23-20
This model is a fine-tuned version of roneneldan/TinyStories-33M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8396
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7091 | 3.9983 | 2375 | 1.3812 |
| 0.226 | 7.9966 | 4750 | 1.6926 |
| 0.1381 | 11.9949 | 7125 | 1.8396 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0