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| Epoch | Training Loss | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|
| 1 | 0.182300 | 0.227213 | 0.953785 | 0.907361 | 0.953785 | 0.953890 |
| 2 | 0.154800 | 0.125345 | 0.948243 | 0.896069 | 0.948139 | 0.948243 |
| 3 | 0.135800 | 0.115165 | 0.953785 | 0.907361 | 0.953785 | 0.953890 |
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jyotiyadav/InsuranceModel1.0") model = AutoModelForSeq2SeqLM.from_pretrained("Jyotiyadav/InsuranceModel1.0")