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chinese-bert-wwm-ext-finetuned-cola – AI Model by kevinzyz | AlphaNeural AI
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chinese-bert-wwm-ext-finetuned-cola
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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chinese-bert-wwm-ext-finetuned-cola
This model is a fine-tuned version of
hfl/chinese-bert-wwm-ext
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5747
Matthews Correlation: 0.4085
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.5824
1.0
66375
0.5746
0.4083
0.5824
2.0
66376
0.5747
0.4085
Framework versions
Transformers 4.12.5
Pytorch 1.7.1
Datasets 1.15.1
Tokenizers 0.10.3
