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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/SmolLM-135M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Assignment2-modified-V5 |
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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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# Assignment2-modified-V5 |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8368 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.6905 | 0.2132 | 200 | 3.0405 | |
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| 2.5101 | 0.4264 | 400 | 2.9576 | |
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| 2.4462 | 0.6397 | 600 | 2.8987 | |
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| 2.3591 | 0.8529 | 800 | 2.8647 | |
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| 2.303 | 1.0661 | 1000 | 2.8560 | |
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| 2.1124 | 1.2793 | 1200 | 2.8495 | |
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| 2.1282 | 1.4925 | 1400 | 2.8352 | |
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| 2.0929 | 1.7058 | 1600 | 2.8206 | |
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| 2.0485 | 1.9190 | 1800 | 2.8105 | |
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| 2.0171 | 2.1322 | 2000 | 2.8344 | |
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| 1.9584 | 2.3454 | 2200 | 2.8385 | |
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| 1.9484 | 2.5586 | 2400 | 2.8381 | |
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| 1.9297 | 2.7719 | 2600 | 2.8366 | |
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| 1.9606 | 2.9851 | 2800 | 2.8368 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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