Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bart-summarizer – AI Model by LearneratVnit | AlphaNeural AI
You can deploy this model and start earning money today!
LearneratVnit
/
bart-summarizer
like
0
transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
LearneratVnit/bart-summarizer
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bart-summarizer
This model is a fine-tuned version of
LearneratVnit/bart-summarizer
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3295
Rouge1: 0.33
Rouge2: 0.0688
Rougel: 0.205
Rougelsum: 0.2847
Gen Len: 129.5045
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.4379
0.9992
622
2.3295
0.33
0.0688
0.205
0.2847
129.5045
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
