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bart-base-finetuned-samsum-v2 – AI Model by amagzari | AlphaNeural AI
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bart-base-finetuned-samsum-v2
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transformers
pytorch
tensorboard
bart
text2text-generation
summarization
generated_from_trainer
samsum
apache-2.0
model-index
endpoints_compatible
us
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bart-base-finetuned-samsum-v2
This model is a fine-tuned version of
facebook/bart-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.5326
Rouge1: 47.3928
Rouge2: 24.0713
Rougel: 40.029
Rougelsum: 43.6252
Gen Len: 17.8154
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
1.59
1.0
1841
1.5326
47.3928
24.0713
40.029
43.6252
17.8154
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
