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--- |
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license: other |
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--- |
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## Model Overview |
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It is a TT-compressed model of pretrained bart-base XSUM model. |
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Model was TTM-compressed with additional finetuning up to 62% (64 mln params) of original size. |
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- eval_loss = 2.5863 |
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- eval_rouge1 = 34.5695 |
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- eval_rouge2 = 12.6411 |
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- eval_rougeL = 27.3062 |
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- eval_rougeLsum = 27.2974 |
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## How to use |
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```python |
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tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base") |
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model = AutoModelForSequenceClassification.from_pretrained("s-nlp/bart-base-xsum-ttd", trust_remote_code=True) |
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``` |
