| | --- |
| | license: mit |
| | language: en |
| | tags: |
| | - bert |
| | - sentiment-analysis |
| | datasets: |
| | - yelp_review_full |
| | widget: |
| | - text: "The food is delicious." |
| | - text: "The food is awful." |
| | - text: "Umm... so so." |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # my-test-model |
| |
|
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| |
|
| |
|
| | ## 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: None |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.20.1 |
| | - TensorFlow 2.8.2 |
| | - Datasets 2.3.2 |
| | - Tokenizers 0.12.1 |
| | |
