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bart-large-cnn-finetuned-samsum-v2 – AI Model by amagzari | AlphaNeural AI
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amagzari
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bart-large-cnn-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-cnn-finetuned-samsum-v2
This model is a fine-tuned version of
facebook/bart-large-cnn
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3668
Rouge1: 42.2679
Rouge2: 21.8061
Rougel: 32.5227
Rougelsum: 39.1041
Gen Len: 59.7738
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
1.3262
1.0
1841
1.3668
42.2679
21.8061
32.5227
39.1041
59.7738
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
