Model save
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README.md
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- F1 Macro: 0.
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- F1: 0.
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- F1 Neg: 0.
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- Acc: 0.
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- Prec: 0.
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- Recall: 0.
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- Mcc: 0.
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## Model description
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- distributed_type: multi-GPU
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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:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.
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- Datasets 2.
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6559
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- F1 Macro: 0.8454
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- F1: 0.8908
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- F1 Neg: 0.8
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- Acc: 0.8588
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- Prec: 0.8748
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- Recall: 0.9075
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- Mcc: 0.6919
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## Model description
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- distributed_type: multi-GPU
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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runs/Mar11_17-44-58_tardis/events.out.tfevents.1710175678.tardis.80726.13
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version https://git-lfs.github.com/spec/v1
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oid sha256:081ab5b56cde3381149eaf3a5ea85614881f26e7f71dc4396b4e57248c23f65e
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size 699
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