Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
task1_xlnet-large-cased_3_4_2e-05_0.01 – AI Model by YanJiangJerry | AlphaNeural AI
You can deploy this model and start earning money today!
YanJiangJerry
/
task1_xlnet-large-cased_3_4_2e-05_0.01
like
0
transformers
pytorch
xlnet
text-classification
generated_from_trainer
xlnet/xlnet-large-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
task1_xlnet-large-cased_3_4_2e-05_0.01
This model is a fine-tuned version of
xlnet-large-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7090
Accuracy: 0.8147
F1: 0.0
Precision: 0.0
Recall: 0.0
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: 4
eval_batch_size: 4
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
F1
Precision
Recall
0.6754
1.0
1629
0.5660
0.8147
0.0
0.0
0.0
0.7117
2.0
3258
0.6926
0.8147
0.0
0.0
0.0
0.6359
3.0
4887
0.7090
0.8147
0.0
0.0
0.0
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
