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pegasus-samsum – AI Model by chris-santiago | AlphaNeural AI
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chris-santiago
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pegasus-samsum
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transformers
tensorboard
safetensors
pegasus
text2text-generation
autotrain
summarization
autotrain-7t7rk-gfqs1/autotrain-data
samsum
mit
endpoints_compatible
us
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Model Trained Using AutoTrain
This model is a fine-tuned version of
google/pegasus-cnn_dailymail
on the samsum dataset.
Problem type: Seq2Seq
Validation Metrics
loss: 1.4270155429840088
rouge1: 46.4301
rouge2: 23.4668
rougeL: 37.0224
rougeLsum: 42.8893
gen_len: 35.9694
runtime: 467.0921
samples_per_second: 1.751
steps_per_second: 0.439
: 1.0
