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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-V3 |
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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-V3 |
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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: 2.8475 |
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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: 5e-05 |
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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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- 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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| 3.1903 | 0.16 | 200 | 3.1292 | |
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| 2.9116 | 0.32 | 400 | 3.0152 | |
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| 2.816 | 0.48 | 600 | 2.9535 | |
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| 2.7771 | 0.64 | 800 | 2.9106 | |
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| 2.667 | 0.8 | 1000 | 2.8754 | |
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| 2.601 | 0.96 | 1200 | 2.8459 | |
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| 2.4006 | 1.12 | 1400 | 2.8570 | |
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| 2.3205 | 1.28 | 1600 | 2.8472 | |
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| 2.2893 | 1.44 | 1800 | 2.8359 | |
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| 2.2799 | 1.6 | 2000 | 2.8233 | |
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| 2.2825 | 1.76 | 2200 | 2.8158 | |
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| 2.2442 | 1.92 | 2400 | 2.8081 | |
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| 2.1474 | 2.08 | 2600 | 2.8409 | |
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| 2.0325 | 2.24 | 2800 | 2.8517 | |
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| 2.0814 | 2.4 | 3000 | 2.8483 | |
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| 2.0453 | 2.56 | 3200 | 2.8479 | |
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| 2.0474 | 2.7200 | 3400 | 2.8474 | |
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| 2.0077 | 2.88 | 3600 | 2.8475 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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