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bart-base-finetuned-poems – AI Model by rkbulk | AlphaNeural AI
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bart-base-finetuned-poems
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transformers
pytorch
bart
text2text-generation
summarization
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-poems
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 3.1970
eval_rouge1: 16.9107
eval_rouge2: 8.1464
eval_rougeL: 16.5554
eval_rougeLsum: 16.7396
eval_runtime: 487.5616
eval_samples_per_second: 0.41
eval_steps_per_second: 0.051
epoch: 2.0
step: 200
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 4.24.0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2