metadata

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

ashhadahsan/amazon-theme-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: 0.0142
Train Accuracy: 0.9923
Validation Loss: 0.7089
Validation Accuracy: 0.8797
Epoch: 16

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
1.3910	0.5974	0.8022	0.8008	0
0.2739	0.9554	0.6211	0.8609	1
0.0782	0.9885	0.5895	0.8609	2
0.0418	0.9913	0.5456	0.8797	3
0.0318	0.9908	0.5729	0.8797	4
0.0251	0.9906	0.5747	0.8797	5
0.0211	0.9913	0.5994	0.8797	6
0.0195	0.9906	0.6241	0.8797	7
0.0184	0.9911	0.6244	0.8797	8
0.0170	0.9904	0.6235	0.8797	9
0.0159	0.9913	0.6619	0.8797	10
0.0164	0.9913	0.6501	0.8797	11
0.0165	0.9911	0.6452	0.8835	12
0.0155	0.9908	0.6727	0.8872	13
0.0149	0.9904	0.6798	0.8835	14
0.0144	0.9906	0.6905	0.8797	15
0.0142	0.9923	0.7089	0.8797	16

Framework versions

Transformers 4.31.0
TensorFlow 2.12.0
Tokenizers 0.13.3