fine-tune-bert-combined-fine-grained – AI Model by nouman-10 | AlphaNeural AI

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nouman-10/
fine-tune-bert-combined-fine-grained

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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unsupervised-fine-tune-bert-cased-exist-5

This model is a fine-tuned version of nouman-10/unsupervised-comb-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8727
Accuracy: 0.6395
F1: 0.6395

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:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	194	1.0883	0.6047	0.6047
No log	2.0	388	0.9470	0.6570	0.6570
1.0327	3.0	582	0.9865	0.6570	0.6570
1.0327	4.0	776	1.1466	0.6395	0.6395
1.0327	5.0	970	1.2968	0.6628	0.6628
0.3931	6.0	1164	1.4268	0.6715	0.6715
0.3931	7.0	1358	1.6063	0.6512	0.6512
0.1038	8.0	1552	1.7537	0.6395	0.6395
0.1038	9.0	1746	1.8226	0.6512	0.6512
0.1038	10.0	1940	1.8727	0.6395	0.6395

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2