metadata

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

ashhadahsan/amazon-subtheme-bert-base-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: 3.5410
Train Accuracy: 0.2497
Validation Loss: 3.0774
Validation Accuracy: 0.3333
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
3.5410	0.2497	3.0774	0.3333	0

Framework versions

Transformers 4.33.0
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3