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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: gustavokpc/en_MODEL_bert-base-uncased_LRATE_1e-05_EPOCHS_7 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# gustavokpc/en_MODEL_bert-base-uncased_LRATE_1e-05_EPOCHS_7 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0150 |
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- Train Accuracy: 0.9951 |
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- Train F1 M: 0.5657 |
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- Train Precision M: 0.4067 |
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- Train Recall M: 0.9873 |
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- Validation Loss: 0.1309 |
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- Validation Accuracy: 0.9655 |
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- Validation F1 M: 0.5737 |
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- Validation Precision M: 0.4163 |
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- Validation Recall M: 0.9980 |
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- Epoch: 3 |
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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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- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 3962, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch | |
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|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:| |
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| 0.1966 | 0.9215 | 0.4030 | 0.3067 | 0.6414 | 0.0842 | 0.9708 | 0.5427 | 0.4013 | 0.9115 | 0 | |
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| 0.0631 | 0.9799 | 0.5517 | 0.4014 | 0.9425 | 0.0667 | 0.9726 | 0.5583 | 0.4067 | 0.9621 | 1 | |
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| 0.0305 | 0.9912 | 0.5630 | 0.4059 | 0.9778 | 0.0696 | 0.9779 | 0.5517 | 0.4013 | 0.9580 | 2 | |
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| 0.0150 | 0.9951 | 0.5657 | 0.4067 | 0.9873 | 0.1309 | 0.9655 | 0.5737 | 0.4163 | 0.9980 | 3 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.10.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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