sentiment-bert-large-e8-b16 – AI Model by YanJiangJerry | AlphaNeural AI

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sentiment-bert-large-e8-b16

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sentiment-bert-large-e8-b16

This model is a fine-tuned version of vinai/bertweet-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1045
F1: 0.1887
Recall: 0.1887
Precision: 0.1887

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Precision
No log	1.0	375	1.0980	0.1887	0.1887	0.1887
1.1063	2.0	750	1.0596	0.6846	0.6846	0.6846
1.1042	3.0	1125	1.0764	0.6846	0.6846	0.6846
1.1045	4.0	1500	1.0954	0.1887	0.1887	0.1887
1.1045	5.0	1875	1.0905	0.6846	0.6846	0.6846
1.1002	6.0	2250	1.1045	0.1887	0.1887	0.1887

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3