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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: HuggingFaceTB/SmolLM2-360M |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kajuma/training_01-09_patch |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) on the kajuma/training_01-09_patch dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1002 |
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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: 0.003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine_with_min_lr |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 3.584 | 0.0878 | 1000 | 0.1139 | |
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| 3.4937 | 0.1755 | 2000 | 0.1080 | |
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| 3.3486 | 0.2633 | 3000 | 0.1059 | |
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| 3.4019 | 0.3511 | 4000 | 0.1044 | |
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| 3.2915 | 0.4388 | 5000 | 0.1033 | |
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| 3.2729 | 0.5266 | 6000 | 0.1023 | |
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| 3.2451 | 0.6144 | 7000 | 0.1015 | |
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| 3.2339 | 0.7022 | 8000 | 0.1009 | |
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| 3.2383 | 0.7899 | 9000 | 0.1005 | |
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| 3.2441 | 0.8777 | 10000 | 0.1003 | |
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| 3.2744 | 0.9655 | 11000 | 0.1002 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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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 |
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