chinese-roberta-wwm-ext-finetuned2 – AI Model by zhiguoxu | AlphaNeural AI

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chinese-roberta-wwm-ext-finetuned2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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chinese-roberta-wwm-ext-finetuned2

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: 0.1448
Accuracy: 1.0
F1: 1.0

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4081	1.0	3	0.9711	0.7273	0.6573
0.9516	2.0	6	0.8174	0.8182	0.8160
0.8945	3.0	9	0.6617	0.9091	0.9124
0.7042	4.0	12	0.5308	1.0	1.0
0.6641	5.0	15	0.4649	1.0	1.0
0.5731	6.0	18	0.4046	1.0	1.0
0.5132	7.0	21	0.3527	1.0	1.0
0.3999	8.0	24	0.3070	1.0	1.0
0.4198	9.0	27	0.2673	1.0	1.0
0.3677	10.0	30	0.2378	1.0	1.0
0.3545	11.0	33	0.2168	1.0	1.0
0.3237	12.0	36	0.1980	1.0	1.0
0.3122	13.0	39	0.1860	1.0	1.0
0.2802	14.0	42	0.1759	1.0	1.0
0.2552	15.0	45	0.1671	1.0	1.0
0.2475	16.0	48	0.1598	1.0	1.0
0.2259	17.0	51	0.1541	1.0	1.0
0.201	18.0	54	0.1492	1.0	1.0
0.2083	19.0	57	0.1461	1.0	1.0
0.2281	20.0	60	0.1448	1.0	1.0

Framework versions

Transformers 4.18.0
Pytorch 1.12.0+cu102
Datasets 2.1.0
Tokenizers 0.12.1