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bart-large-cnn-v4 – AI Model by liamvbetts | AlphaNeural AI
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bart-large-cnn-v4
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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bart-large-cnn-v4
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5510
Rouge1: 0.2355
Rouge2: 0.1122
Rougel: 0.1953
Rougelsum: 0.2201
Gen Len: 20.0
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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
1.7988
1.0
1250
1.5510
0.2355
0.1122
0.1953
0.2201
20.0
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
