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BART-large-cnn-V3 – AI Model by hztang | AlphaNeural AI
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BART-large-cnn-V3
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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BART-large-cnn-V3
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset.
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
No log
0.99
62
0.6047
55.4094
37.7224
45.4045
53.4439
139.8044
Framework versions
Transformers 4.35.2
Pytorch 1.12.1
Datasets 2.15.0
Tokenizers 0.15.0
