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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/IC_segundo |
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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/IC_segundo |
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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: 0.0559 |
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- Train Accuracy: 0.9805 |
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- Train F1 M: 0.5583 |
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- Train Precision M: 0.4028 |
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- Train Recall M: 0.9686 |
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- Validation Loss: 0.2533 |
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- Validation Accuracy: 0.9327 |
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- Validation F1 M: 0.5605 |
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- Validation Precision M: 0.4028 |
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- Validation Recall M: 0.9674 |
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- Epoch: 4 |
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3790, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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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| 0.3576 | 0.8399 | 0.4604 | 0.3607 | 0.7042 | 0.2825 | 0.8997 | 0.5635 | 0.4127 | 0.9300 | 0 | |
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| 0.2012 | 0.9274 | 0.5204 | 0.3849 | 0.8616 | 0.2103 | 0.9175 | 0.5451 | 0.3970 | 0.9095 | 1 | |
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| 0.1312 | 0.9511 | 0.5451 | 0.3969 | 0.9273 | 0.2125 | 0.9307 | 0.5571 | 0.4017 | 0.9523 | 2 | |
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| 0.0871 | 0.9690 | 0.5547 | 0.4007 | 0.9557 | 0.2417 | 0.9301 | 0.5565 | 0.4013 | 0.9547 | 3 | |
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| 0.0559 | 0.9805 | 0.5583 | 0.4028 | 0.9686 | 0.2533 | 0.9327 | 0.5605 | 0.4028 | 0.9674 | 4 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.14.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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