README.md

metadata

license: mit
base_model: xlnet-base-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: svenbl80/xlnet-base-cased-finetuned-mnli
    results: []

svenbl80/xlnet-base-cased-finetuned-mnli

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: 0.3364
• Validation Loss: 0.3842
• Train Accuracy: 0.8598
• 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 245430, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.4828	0.4066	0.8426	0
0.3364	0.3842	0.8598	1

Framework versions

• Transformers 4.35.2
• TensorFlow 2.9.1
• Datasets 2.15.0
• Tokenizers 0.15.0