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: 0.1943
Train Accuracy: 0.9235
Validation Loss: 0.1504
Validation Accuracy: 0.9466
Epoch: 1

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

Framework versions

Transformers 4.41.2
TensorFlow 2.15.0
Tokenizers 0.19.1