bert-base-uncased-reviews-2 – AI Model by insaf | AlphaNeural AI

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bert-base-uncased-reviews-2

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bert-base-uncased-reviews-2

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7896

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: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
3.0821	1.0	54	2.4469
2.5174	2.0	108	2.4053
2.2908	3.0	162	2.1641
2.1386	4.0	216	2.0630
2.0979	5.0	270	2.0280
1.9993	6.0	324	2.1035
1.9345	7.0	378	1.9415
1.8916	8.0	432	1.9182
1.8557	9.0	486	1.7934
1.8405	10.0	540	1.8154
1.8092	11.0	594	1.9632
1.7748	12.0	648	1.8535
1.7633	13.0	702	1.9335
1.7185	14.0	756	1.7669
1.6964	15.0	810	1.8345
1.7603	16.0	864	1.7896

Framework versions

Transformers 4.13.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.10.3