metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Stanford-Sentiment-Treebank
results: []
Stanford-Sentiment-Treebank
This model is a fine-tuned version of gchhablani/bert-base-cased-finetuned-sst2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0285
- Validation Loss: 0.3471
- 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': 'AdamWeightDecay', 'learning_rate': 2e-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 | Validation Loss | Epoch |
|---|---|---|
| 0.0710 | 0.2416 | 0 |
| 0.0578 | 0.2365 | 1 |
| 0.0432 | 0.3337 | 2 |
| 0.0343 | 0.3451 | 3 |
| 0.0285 | 0.3471 | 4 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2