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bart-large-xsum-finetuned-samsum-v2 – AI Model by amagzari | AlphaNeural AI
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amagzari
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bart-large-xsum-finetuned-samsum-v2
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
samsum
mit
model-index
endpoints_compatible
us
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bart-large-xsum-finetuned-samsum-v2
This model is a fine-tuned version of
facebook/bart-large-xsum
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4078
Rouge1: 54.1988
Rouge2: 29.3478
Rougel: 44.6308
Rougelsum: 49.8443
Gen Len: 29.0538
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
1.3515
1.0
1841
1.4078
54.1988
29.3478
44.6308
49.8443
29.0538
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
