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README.md
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# pegasus-samsum
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.3986
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# pegasus-samsum
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the SAMsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3986
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## Model description
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The model uses PEGASUS pretrained on cnn-dailymail and it is fine-tuned on the SAMsum dataset in order to get summaries out of conversations
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## Intended uses & limitations
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Summarization on conversations
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## Training and evaluation data
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The training args are the following:
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num_train_epochs=1,
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warmup_steps=500,
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per_device_train_batch_size=1,
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per_gpu_eval_batch_size=1,
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weight_decay=0.01,
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logging_steps=10,
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push_to_hub=True,
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evaluation_strategy='steps',
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eval_steps=500,
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save_steps=1e6,
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gradient_accumulation_steps=16,
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remove_unused_columns=False,
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## Training procedure
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