albert-base-chinese-finetuned-qqp-FHTM-5x-weak – AI Model by r10521708 | AlphaNeural AI

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r10521708/
albert-base-chinese-finetuned-qqp-FHTM-5x-weak

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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albert-base-chinese-finetuned-qqp

This model is a fine-tuned version of ckiplab/albert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4448448717594147
Accuracy: 0.95
F1: 0.9473684210526316

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	30	0.517563	0.500000	0.000000
No log	2.0	60	0.416847	0.850000	0.869565
No log	3.0	90	0.444845	0.950000	0.947368
No log	4.0	120	0.430313	0.900000	0.888889
No log	5.0	150	0.439254	0.900000	0.888889

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.0.dev0