End of training
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README.md
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---
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base_model: dccuchile/bert-base-spanish-wwm-cased
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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: FNST_trad_a
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results: []
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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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# FNST_trad_a
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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: 1.2596
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- Accuracy: 0.4
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- F1: 0.1429
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-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: 32
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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 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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runs/May06_21-58-11_PcJavierOmen/events.out.tfevents.1715047121.PcJavierOmen.5660.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea369512db1ed94088ec0ee7f728f70021e6c7319a70e8e54bc7fea7b8872dda
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size 464
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