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BART-dialog-sum – AI Model by NazzX1 | AlphaNeural AI
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NazzX1
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BART-dialog-sum
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
NazzX1/NoteBART
finetune
mit
endpoints_compatible
us
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BART-dialog-sum
This model is a fine-tuned version of
NazzX1/NoteBART
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1419
Rouge1: 0.5285
Rouge2: 0.3359
Rougel: 0.4447
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
0.0732
1.0
520
0.1359
0.5626
0.3635
0.4701
0.0616
2.0
1040
0.1361
0.5231
0.3261
0.4329
0.0411
3.0
1560
0.1419
0.5285
0.3359
0.4447
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
