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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_1-2025-02-13-16-57 |
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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_1-2025-02-13-16-57 |
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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: 2.5458 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.5623 | 0.5 | 297 | 2.6254 | |
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| 2.6957 | 1.0 | 594 | 2.6033 | |
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| 2.533 | 1.5 | 891 | 2.5928 | |
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| 2.583 | 2.0 | 1188 | 2.5871 | |
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| 2.4467 | 2.5 | 1485 | 2.5803 | |
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| 2.5157 | 3.0 | 1782 | 2.5742 | |
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| 2.5378 | 3.5 | 2079 | 2.5718 | |
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| 2.4285 | 4.0 | 2376 | 2.5732 | |
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| 2.4606 | 4.5 | 2673 | 2.5643 | |
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| 2.5373 | 5.0 | 2970 | 2.5660 | |
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| 2.5087 | 5.5 | 3267 | 2.5616 | |
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| 2.5158 | 6.0 | 3564 | 2.5620 | |
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| 2.4755 | 6.5 | 3861 | 2.5607 | |
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| 2.5964 | 7.0 | 4158 | 2.5595 | |
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| 2.54 | 7.5 | 4455 | 2.5608 | |
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| 2.5001 | 8.0 | 4752 | 2.5558 | |
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| 2.4152 | 8.5 | 5049 | 2.5562 | |
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| 2.5635 | 9.0 | 5346 | 2.5559 | |
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| 2.5722 | 9.5 | 5643 | 2.5550 | |
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| 2.5334 | 10.0 | 5940 | 2.5533 | |
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| 2.5433 | 10.5 | 6237 | 2.5540 | |
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| 2.4406 | 11.0 | 6534 | 2.5531 | |
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| 2.5045 | 11.5 | 6831 | 2.5528 | |
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| 2.5424 | 12.0 | 7128 | 2.5529 | |
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| 2.4114 | 12.5 | 7425 | 2.5508 | |
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| 2.4601 | 13.0 | 7722 | 2.5494 | |
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| 2.4751 | 13.5 | 8019 | 2.5519 | |
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| 2.4457 | 14.0 | 8316 | 2.5519 | |
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| 2.5539 | 14.5 | 8613 | 2.5500 | |
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| 2.6792 | 15.0 | 8910 | 2.5500 | |
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| 2.5712 | 15.5 | 9207 | 2.5498 | |
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| 2.4492 | 16.0 | 9504 | 2.5476 | |
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| 2.4512 | 16.5 | 9801 | 2.5481 | |
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| 2.417 | 17.0 | 10098 | 2.5482 | |
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| 2.5693 | 17.5 | 10395 | 2.5478 | |
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| 2.5358 | 18.0 | 10692 | 2.5482 | |
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| 2.4265 | 18.5 | 10989 | 2.5477 | |
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| 2.4858 | 19.0 | 11286 | 2.5475 | |
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| 2.4319 | 19.5 | 11583 | 2.5471 | |
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| 2.4089 | 20.0 | 11880 | 2.5458 | |
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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 |
