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README.md
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metrics:
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- rouge
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model-index:
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- name:
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results: []
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---
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# FastAbs-Fine-tuning-Text-Summarization
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on
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It achieves the following results on the evaluation set:
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- Loss: 0.8435
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- Rouge1: 71.033
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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metrics:
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- rouge
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model-index:
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- name: mt5-vi-news-summarization
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results: []
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---
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# FastAbs-Fine-tuning-Text-Summarization
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on [vietgpt/news_summarization_vi](https://huggingface.co/datasets/vietgpt/news_summarization_vi).
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It achieves the following results on the evaluation set:
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- Loss: 0.8435
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- Rouge1: 71.033
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 6
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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