Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilbert-base-uncased-new2-cola – AI Model by charlemagne | AlphaNeural AI
You can deploy this model and start earning money today!
charlemagne
/
distilbert-base-uncased-new2-cola
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-new2-cola
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2107
Matthews Correlation: 0.9155
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
No log
1.0
164
0.4352
0.8059
No log
2.0
328
0.2626
0.8950
No log
3.0
492
0.2422
0.9063
0.4552
4.0
656
0.2107
0.9155
0.4552
5.0
820
0.2160
0.9134
Framework versions
Transformers 4.17.0
Pytorch 1.8.0+cu111
Datasets 2.1.0
Tokenizers 0.11.6
