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--- |
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library_name: peft |
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base_model: roneneldan/TinyStories-1M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test_1M_1-2025-02-14-16-07 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test_1M_1-2025-02-14-16-07 |
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This model is a fine-tuned version of [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3833 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2.5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5273 | 0.5 | 297 | 2.4519 | |
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| 2.472 | 1.0 | 594 | 2.4306 | |
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| 2.4052 | 1.5 | 891 | 2.4192 | |
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| 2.4047 | 2.0 | 1188 | 2.4094 | |
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| 2.4267 | 2.5 | 1485 | 2.4051 | |
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| 2.4885 | 3.0 | 1782 | 2.3986 | |
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| 2.3402 | 3.5 | 2079 | 2.3992 | |
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| 2.3986 | 4.0 | 2376 | 2.3945 | |
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| 2.4204 | 4.5 | 2673 | 2.3918 | |
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| 2.4407 | 5.0 | 2970 | 2.3904 | |
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| 2.2497 | 5.5 | 3267 | 2.3913 | |
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| 2.5282 | 6.0 | 3564 | 2.3892 | |
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| 2.3114 | 6.5 | 3861 | 2.3884 | |
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| 2.4029 | 7.0 | 4158 | 2.3856 | |
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| 2.2773 | 7.5 | 4455 | 2.3835 | |
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| 2.3677 | 8.0 | 4752 | 2.3833 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
