|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: multilingual_sentiment_newspaper_headlines |
|
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. --> |
|
|
|
# multilingual_sentiment_newspaper_headlines |
|
|
|
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.2886 |
|
- Train Sparse Categorical Accuracy: 0.8688 |
|
- Validation Loss: 1.0107 |
|
- Validation Sparse Categorical Accuracy: 0.6434 |
|
- Epoch: 4 |
|
|
|
## 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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
|
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
|
| 0.8008 | 0.6130 | 0.7099 | 0.6558 | 0 | |
|
| 0.6148 | 0.6973 | 0.7559 | 0.6200 | 1 | |
|
| 0.4626 | 0.7690 | 0.8233 | 0.6368 | 2 | |
|
| 0.3632 | 0.8229 | 0.9609 | 0.6454 | 3 | |
|
| 0.2886 | 0.8688 | 1.0107 | 0.6434 | 4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- TensorFlow 2.9.2 |
|
- Tokenizers 0.13.2 |
|
|
