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cnn_news_summary_reduced – AI Model by abhraskygod | AlphaNeural AI
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abhraskygod
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cnn_news_summary_reduced
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
text-generation-inference
endpoints_compatible
us
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cnn_news_summary_reduced
This model is a fine-tuned version of
t5-small
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
eval_loss: 1.7174
eval_rouge1: 0.2449
eval_rouge2: 0.1201
eval_rougeL: 0.2041
eval_rougeLsum: 0.2043
eval_gen_len: 19.0
eval_runtime: 168.435
eval_samples_per_second: 15.876
eval_steps_per_second: 0.997
epoch: 1.0
step: 669
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
