test_1M_1-2025-02-14-16-07
This model is a fine-tuned version of 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
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Base model
roneneldan/TinyStories-1M