Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
BART-Firefox-Simplification-Advanced – AI Model by pabRomero | AlphaNeural AI
You can deploy this model and start earning money today!
pabRomero
/
BART-Firefox-Simplification-Advanced
like
0
transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
BART-Firefox-Simplification-Advanced
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0459
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: 2.5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 71
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
3.3573
1.0
90
2.3117
2.3048
2.0
180
2.1491
2.0601
3.0
270
2.1264
1.9078
4.0
360
2.0917
1.7892
5.0
450
2.0459
1.6796
6.0
540
2.0607
1.658
7.0
630
2.0635
1.6285
8.0
720
2.0640
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu126
Datasets 3.0.1
Tokenizers 0.21.0
