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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-new-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-new-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: 3.8361 |
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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: 0.0002 |
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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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- 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: constant |
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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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| 3.0969 | 0.2667 | 200 | 3.2086 | |
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| 2.7618 | 0.5333 | 400 | 3.1396 | |
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| 2.6575 | 0.8 | 600 | 3.1075 | |
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| 2.3658 | 1.0667 | 800 | 3.2368 | |
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| 1.6353 | 1.3333 | 1000 | 3.3381 | |
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| 1.6669 | 1.6 | 1200 | 3.2797 | |
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| 1.6874 | 1.8667 | 1400 | 3.2898 | |
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| 1.2667 | 2.1333 | 1600 | 3.7334 | |
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| 0.9263 | 2.4 | 1800 | 3.8037 | |
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| 0.9622 | 2.6667 | 2000 | 3.7691 | |
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| 0.9586 | 2.9333 | 2200 | 3.8361 | |
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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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