Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
e2m_denoise_project – AI Model by smitmenon | AlphaNeural AI
You can deploy this model and start earning money today!
smitmenon
/
e2m_denoise_project
like
0
transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50-one-to-many-mmt
finetune
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
e2m_denoise_project
This model is a fine-tuned version of
facebook/mbart-large-50-one-to-many-mmt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4057
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
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.9598
1.0
125
0.4112
0.4495
2.0
250
0.4057
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
