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README.md ADDED
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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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+
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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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+
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+ # desired_run
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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