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README.md
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@@ -5,7 +5,6 @@ datasets:
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language:
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- en
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metrics:
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- bleu
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- rouge
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base_model:
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- facebook/bart-large
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| Rouge-2 | 0.188076798 |
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| Rouge-L | 0.33460693 |
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These metrics were computed using the `rouge_scorer` library for ROUGE scores
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#### Training Arguments
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The model was trained using the following Hugging Face Seq2SeqTrainingArguments:
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# Generate summary
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summary = summarizer(input_text, max_length=64, min_length=30, do_sample=False)
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print(summary[0]["summary_text"])
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```
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language:
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- en
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metrics:
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- rouge
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base_model:
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- facebook/bart-large
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| Rouge-2 | 0.188076798 |
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| Rouge-L | 0.33460693 |
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These metrics were computed using the `rouge_scorer` library for ROUGE scores.
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#### Training Arguments
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The model was trained using the following Hugging Face Seq2SeqTrainingArguments:
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# Generate summary
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summary = summarizer(input_text, max_length=64, min_length=30, do_sample=False)
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print(summary[0]["summary_text"])
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```
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