classification_chnsenticorp_scarce – AI Model by BiggieW | AlphaNeural AI

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BiggieW/
classification_chnsenticorp_scarce

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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classification_chnsenticorp_scarce

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7194
Accuracy: 0.5

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: 10
eval_batch_size: 10
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
0.7839	1.0	2	0.7446	0.4
0.6498	2.0	4	0.7266	0.45
0.5516	3.0	6	0.7208	0.35
0.5203	4.0	8	0.7190	0.35
0.4611	5.0	10	0.7162	0.45
0.4248	6.0	12	0.7178	0.45
0.3504	7.0	14	0.7153	0.45
0.3418	8.0	16	0.7170	0.5
0.315	9.0	18	0.7192	0.5
0.3125	10.0	20	0.7194	0.5

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2