Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Mo – AI Model by Dinithi | AlphaNeural AI
You can deploy this model and start earning money today!
Dinithi
/
Mo
like
0
transformers
pytorch
distilbert
fill-mask
generated_from_trainer
imdb
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Mo
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 2.5195
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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
40
2.5481
No log
2.0
80
2.4599
No log
3.0
120
2.5479
Framework versions
Transformers 4.26.1
Pytorch 1.12.0+cu102
Datasets 2.10.1
Tokenizers 0.13.2
