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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: FacebookAI/roberta-large
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - accuracy
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+ model-index:
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+ - name: roberta-large-pr
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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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+ # roberta-large-pr
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+
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+ This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1086
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+ - F1 Macro: 0.6212
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+ - Precision: 0.6133
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+ - Recall: 0.6330
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+ - Accuracy: 0.7726
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 32
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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: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 Macro | Precision | Recall | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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+ | No log | 1.0 | 240 | 1.6547 | 0.4481 | 0.4726 | 0.5217 | 0.5525 |
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+ | No log | 2.0 | 480 | 0.7853 | 0.5905 | 0.6003 | 0.6054 | 0.7497 |
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+ | 1.8301 | 3.0 | 720 | 0.8548 | 0.5993 | 0.6286 | 0.6309 | 0.7513 |
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+ | 1.8301 | 4.0 | 960 | 0.7731 | 0.6257 | 0.6300 | 0.6352 | 0.7706 |
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+ | 0.8772 | 5.0 | 1200 | 0.7724 | 0.6353 | 0.6364 | 0.6460 | 0.7846 |
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+ | 0.8772 | 6.0 | 1440 | 0.8417 | 0.6325 | 0.6403 | 0.6354 | 0.7836 |
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+ | 0.4566 | 7.0 | 1680 | 1.1086 | 0.6212 | 0.6133 | 0.6330 | 0.7726 |
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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+cu128
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+ - Datasets 4.4.1
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+ - Tokenizers 0.22.1
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