|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: BERT_Tweet_Sentiment_50k_5eps |
|
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. --> |
|
|
|
# BERT_Tweet_Sentiment_50k_5eps |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.0256 |
|
- Train Accuracy: 0.9913 |
|
- Validation Loss: 0.8905 |
|
- Validation Accuracy: 0.8291 |
|
- 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', 'clipnorm': 1.0, 'learning_rate': 3e-05, '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 | Validation Loss | Validation Accuracy | Epoch | |
|
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
|
| 0.3395 | 0.8513 | 0.4071 | 0.8372 | 0 | |
|
| 0.1095 | 0.9606 | 0.6561 | 0.8291 | 1 | |
|
| 0.0487 | 0.9835 | 0.7597 | 0.8304 | 2 | |
|
| 0.0329 | 0.9890 | 0.7814 | 0.8273 | 3 | |
|
| 0.0256 | 0.9913 | 0.8905 | 0.8291 | 4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.2 |
|
- TensorFlow 2.8.0 |
|
- Tokenizers 0.11.0 |
|
|
