metadata
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: dipawidia/xlnet-base-cased-product-review-sentiment-analysis
results: []
dipawidia/xlnet-base-cased-product-review-sentiment-analysis
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1085
- Train Accuracy: 0.9617
- Validation Loss: 0.1910
- Validation Accuracy: 0.9414
- 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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.3417 | 0.8491 | 0.1568 | 0.9449 | 0 |
| 0.1943 | 0.9235 | 0.1504 | 0.9466 | 1 |
| 0.1569 | 0.9404 | 0.1612 | 0.9466 | 2 |
| 0.1238 | 0.9572 | 0.1748 | 0.9475 | 3 |
| 0.1085 | 0.9617 | 0.1910 | 0.9414 | 4 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Tokenizers 0.19.1