Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
albert_chinese_large-text-classification – AI Model by CeroShrijver | AlphaNeural AI
You can deploy this model and start earning money today!
CeroShrijver
/
albert_chinese_large-text-classification
like
0
transformers
pytorch
albert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
albert_chinese_large-text-classification
This model is a fine-tuned version of
voidful/albert_chinese_large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5086
Accuracy: 0.7922
Test Accuracy: 0.7991
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.599
1.0
1009
0.5638
0.7666
0.5076
2.0
2018
0.5279
0.7757
0.5048
3.0
3027
0.5086
0.7922
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
