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bert-base-portuguese-cased_ft-multilple-choice-enem-sample

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End of training

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  1. README.md +9 -8
  2. model.safetensors +1 -1
  3. runs/Jan19_16-44-54_1c46f2611f00/events.out.tfevents.1705682701.1c46f2611f00.568.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7296
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- - Accuracy: 0.3732
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 2
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- - eval_batch_size: 2
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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
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.6045 | 1.0 | 691 | 1.6068 | 0.2935 |
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- | 1.5073 | 2.0 | 1382 | 1.5032 | 0.3768 |
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- | 0.7036 | 3.0 | 2073 | 2.7296 | 0.3732 |
 
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0415
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+ - Accuracy: 0.3696
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 346 | 1.3983 | 0.4457 |
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+ | 1.3637 | 2.0 | 692 | 1.6242 | 0.3804 |
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+ | 0.5163 | 3.0 | 1038 | 2.6380 | 0.3949 |
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+ | 0.5163 | 4.0 | 1384 | 3.0415 | 0.3696 |
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  ### Framework versions
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