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update model card README.md

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+ ---
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+ license: mit
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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: xlm-r-base-amazon-massive-intent-label_smoothing
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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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+ # xlm-r-base-amazon-massive-intent-label_smoothing
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+
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5148
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+ - Accuracy: 0.8879
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+ - F1: 0.8879
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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: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+ - label_smoothing_factor: 0.4
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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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+ | 3.3945 | 1.0 | 720 | 2.7175 | 0.7900 | 0.7900 |
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+ | 2.7629 | 2.0 | 1440 | 2.5660 | 0.8549 | 0.8549 |
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+ | 2.5143 | 3.0 | 2160 | 2.5389 | 0.8711 | 0.8711 |
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+ | 2.4678 | 4.0 | 2880 | 2.5172 | 0.8883 | 0.8883 |
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+ | 2.4187 | 5.0 | 3600 | 2.5148 | 0.8879 | 0.8879 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.24.0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.7.0
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+ - Tokenizers 0.13.2