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bart-large-cnn-finetuned-weaksup-10000-pad-early – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-finetuned-weaksup-10000-pad-early
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-finetuned-weaksup-10000-pad-early
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3541
eval_rouge1: 27.8229
eval_rouge2: 12.9484
eval_rougeL: 21.4909
eval_rougeLsum: 24.7737
eval_gen_len: 67.365
eval_runtime: 1162.9446
eval_samples_per_second: 0.86
eval_steps_per_second: 0.86
epoch: 2.0
step: 20000
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
