Helsinki-NLP/opus_books
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How to use Robinsh2023/my_awesome_opus_books_model with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Robinsh2023/my_awesome_opus_books_model")
model = AutoModelForSeq2SeqLM.from_pretrained("Robinsh2023/my_awesome_opus_books_model", device_map="auto")This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8568 | 1.0 | 6355 | 1.6252 | 5.5127 | 17.628 |
| 1.8274 | 2.0 | 12710 | 1.6019 | 5.6805 | 17.6189 |
Base model
google-t5/t5-small