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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: dbmdz/bert-large-cased-finetuned-conll03-english
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-large-cased-finetuned-conll03-english-finetuned
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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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+ # bert-large-cased-finetuned-conll03-english-finetuned
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+
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+ This model is a fine-tuned version of [dbmdz/bert-large-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.0801
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+ - eval_precision: 0.8112
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+ - eval_recall: 0.8088
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+ - eval_f1: 0.8100
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+ - eval_accuracy: 0.9892
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+ - eval_runtime: 71.6816
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+ - eval_samples_per_second: 57.156
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+ - eval_steps_per_second: 3.585
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+ - epoch: 3.0
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+ - step: 2316
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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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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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