Jorge Lopez Grisman commited on
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End of training

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  1. README.md +78 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ datasets:
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+ - conll2003
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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: albert-base-v2
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: conll2003
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+ type: conll2003
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+ args: default
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+ metrics:
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+ - name: precision
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+ type: precision
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+ value: 0.9252213840603477
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+ - name: recall
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+ type: recall
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+ value: 0.9329732113328189
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+ - name: f1
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+ type: f1
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+ value: 0.9290811285541773
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+ - name: accuracy
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+ type: accuracy
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+ value: 0.9848205157332728
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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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+ # albert-base-v2
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+
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+ This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the conll2003 dataset.
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+ It achieves the following results on the evaluation set:
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+ - precision: 0.9252
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+ - recall: 0.9330
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+ - f1: 0.9291
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+ - accuracy: 0.9848
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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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+ - num_train_epochs: 5
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+ - train_batch_size: 16
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+ - learning_rate: 2e-05
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+ - weight_decay_rate: 0.01
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+ - num_warmup_steps: 0
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+ - fp16: True
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+
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+ ### Framework versions
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+
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+ - Transformers 4.16.2
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+ - Pytorch 1.8.1+cu111
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0
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