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update model card README.md

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+ ---
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+ license: apache-2.0
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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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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: directquote-variedStyles
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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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+ # directquote-variedStyles
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+
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2339
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+ - Precision: 0.7440
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+ - Recall: 0.9090
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+ - F1: 0.8182
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+ - Accuracy: 0.9355
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3392 | 1.0 | 976 | 0.2050 | 0.7040 | 0.8297 | 0.7617 | 0.9327 |
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+ | 0.1915 | 2.0 | 1952 | 0.1996 | 0.7417 | 0.8990 | 0.8128 | 0.9337 |
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+ | 0.1668 | 3.0 | 2928 | 0.2023 | 0.7373 | 0.9066 | 0.8132 | 0.9369 |
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+ | 0.1447 | 4.0 | 3904 | 0.2125 | 0.7458 | 0.9107 | 0.8200 | 0.9367 |
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+ | 0.1248 | 5.0 | 4880 | 0.2339 | 0.7440 | 0.9090 | 0.8182 | 0.9355 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.1
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+ - Pytorch 1.10.2+cu113
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+ - Datasets 2.8.0
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+ - Tokenizers 0.13.2