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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/SmolLM2-135M |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: desired_run |
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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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# desired_run |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5396 |
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- Accuracy: 0.9214 |
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- F1: 0.9214 |
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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: 3e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 2.5858 | 1.0 | 313 | 0.5200 | 0.9184 | 0.9185 | |
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| 1.8127 | 2.0 | 626 | 0.5246 | 0.9179 | 0.9178 | |
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| 1.5712 | 3.0 | 939 | 0.5342 | 0.9188 | 0.9186 | |
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| 1.4496 | 4.0 | 1252 | 0.5358 | 0.9201 | 0.9200 | |
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| 1.4135 | 5.0 | 1565 | 0.5396 | 0.9214 | 0.9214 | |
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| 1.4042 | 6.0 | 1878 | 0.5420 | 0.92 | 0.9200 | |
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| 1.4004 | 7.0 | 2191 | 0.5407 | 0.9196 | 0.9195 | |
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| 1.3981 | 8.0 | 2504 | 0.5414 | 0.9207 | 0.9205 | |
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| 1.3969 | 9.0 | 2817 | 0.5413 | 0.92 | 0.9199 | |
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| 1.3957 | 10.0 | 3130 | 0.5419 | 0.9195 | 0.9193 | |
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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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