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distilbart-cnn-12-6-finetuned-scitldr – AI Model by RamAnanth1 | AlphaNeural AI
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RamAnanth1
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distilbart-cnn-12-6-finetuned-scitldr
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transformers
pytorch
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
scitldr
apache-2.0
endpoints_compatible
us
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distilbart-cnn-12-6-finetuned-scitldr
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on the scitldr dataset. It achieves the following results on the evaluation set:
eval_loss: 3.7113
eval_rouge1: 31.4431
eval_rouge2: 13.1766
eval_rougeL: 24.2038
eval_rougeLsum: 26.3167
eval_runtime: 151.7265
eval_samples_per_second: 4.08
eval_steps_per_second: 0.514
epoch: 4.0
step: 996
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: 5.6e-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: 8
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
