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README.md
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license: mit
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tags:
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model-index:
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- name:
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results: []
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<!-- This model card has been generated automatically according to the information
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#
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on
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It achieves the following results on the evaluation set:
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- Validation Loss: 1.8061
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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### Training results
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### Framework versions
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- Transformers 4.
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- Datasets 2.
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- Tokenizers 0.
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-portuguese-cased-finetuned-chico-xavier
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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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# bert-base-portuguese-cased-finetuned-chico-xavier
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9544
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## Model description
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### Training hyperparameters
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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: 64
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- eval_batch_size: 64
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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: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.3116 | 1.0 | 157 | 2.0288 |
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| 2.097 | 2.0 | 314 | 1.9837 |
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| 2.0608 | 3.0 | 471 | 1.9755 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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