README.md

metadata

license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: ashhadahsan/amazon-theme-bert-base-finetuned-finetuned
    results: []

ashhadahsan/amazon-theme-bert-base-finetuned-finetuned

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.6665
• Train Accuracy: 0.5196
• Validation Loss: 1.4591
• Validation Accuracy: 0.5767
• Epoch: 0

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', 'weight_decay': None, 'clipnorm': 1.0, '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-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
1.6665	0.5196	1.4591	0.5767	0

Framework versions

• Transformers 4.34.1
• TensorFlow 2.12.0
• Datasets 2.14.5
• Tokenizers 0.14.1