Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
bert-wiki-choked-4 – AI Model by hopkins | AlphaNeural AI
You can deploy this model and start earning money today!
hopkins
/
bert-wiki-choked-4
like
0
transformers
pytorch
tensorboard
bert
text-generation
generated_from_trainer
generator
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-wiki-choked-4
This model is a fine-tuned version of
bert-base-cased
on the generator dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
1
nan
5.0605
2.0
2
nan
0.0
3.0
3
nan
0.0
4.0
4
nan
20.3063
5.0
5
nan
Framework versions
Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
