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README.md
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---
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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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model-index:
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- name: bert_Pfinal_4CLASES_2e-5_16_10
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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_Pfinal_4CLASES_2e-5_16_10
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This model is a fine-tuned version of [fredymad/bert_Pfinal_4CLASES_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_4CLASES_2e-5_16_2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9126
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- Accuracy: 0.8960
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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: 2e-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: 10
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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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| 0.1814 | 1.0 | 669 | 0.4063 | 0.8960 |
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| 0.1821 | 2.0 | 1338 | 0.4814 | 0.8904 |
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| 0.1029 | 3.0 | 2007 | 0.5948 | 0.8968 |
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| 0.0545 | 4.0 | 2676 | 0.6543 | 0.8949 |
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| 0.038 | 5.0 | 3345 | 0.7463 | 0.8953 |
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| 0.0122 | 6.0 | 4014 | 0.8268 | 0.8968 |
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| 0.0137 | 7.0 | 4683 | 0.8442 | 0.8964 |
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| 0.0061 | 8.0 | 5352 | 0.8852 | 0.8953 |
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| 0.0073 | 9.0 | 6021 | 0.9132 | 0.8957 |
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| 0.002 | 10.0 | 6690 | 0.9126 | 0.8960 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 1.13.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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