File size: 2,845 Bytes
de1b9f8 d6d3e06 de1b9f8 58f01e3 c7de8bf d6d3e06 de1b9f8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_keras_callback
model-index:
- name: gustavokpc/bert-base-portuguese-cased_LRATE_8e-06_EPOCHS_6
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# gustavokpc/bert-base-portuguese-cased_LRATE_8e-06_EPOCHS_6
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.
It achieves the following results on the evaluation set:
- Train Loss: 0.0760
- Train Accuracy: 0.9736
- Train F1 M: 0.5546
- Train Precision M: 0.4022
- Train Recall M: 0.9573
- Validation Loss: 0.1946
- Validation Accuracy: 0.9373
- Validation F1 M: 0.5597
- Validation Precision M: 0.4031
- Validation Recall M: 0.9604
- Epoch: 3
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 8e-06, 'decay_steps': 4548, '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}
- training_precision: float32
### Training results
| 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 |
|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
| 0.2551 | 0.8979 | 0.4816 | 0.3610 | 0.7830 | 0.1728 | 0.9321 | 0.5389 | 0.3930 | 0.9010 | 0 |
| 0.1422 | 0.9482 | 0.5464 | 0.3984 | 0.9255 | 0.1703 | 0.9334 | 0.5630 | 0.4084 | 0.9522 | 1 |
| 0.1011 | 0.9626 | 0.5514 | 0.4011 | 0.9448 | 0.1802 | 0.9400 | 0.5506 | 0.3983 | 0.9366 | 2 |
| 0.0760 | 0.9736 | 0.5546 | 0.4022 | 0.9573 | 0.1946 | 0.9373 | 0.5597 | 0.4031 | 0.9604 | 3 |
### Framework versions
- Transformers 4.34.1
- TensorFlow 2.10.0
- Datasets 2.14.5
- Tokenizers 0.14.1
|