|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: tw-sentiment-finetuned |
|
results: [] |
|
metrics: |
|
- accuracy |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# tw-sentiment-finetuned |
|
|
|
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.2039 |
|
- Train Accuracy: 0.9171 |
|
- Validation Loss: 0.4805 |
|
- Validation Accuracy: 0.8237 |
|
- Epoch: 2 |
|
|
|
## 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': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
|
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
|
| 0.4620 | 0.7977 | 0.3893 | 0.8332 | 0 | |
|
| 0.3238 | 0.8596 | 0.4674 | 0.8362 | 1 | |
|
| 0.2039 | 0.9171 | 0.4805 | 0.8237 | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- TensorFlow 2.9.2 |
|
- Tokenizers 0.13.2 |
