Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mbart-en-ko-context – AI Model by arimurimu | AlphaNeural AI
You can deploy this model and start earning money today!
arimurimu
/
mbart-en-ko-context
like
0
transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
sshleifer/tiny-mbart
finetune
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mbart-en-ko-context
This model is a fine-tuned version of
sshleifer/tiny-mbart
on the None dataset.
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
