Helsinki-NLP/opus_books
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How to use vertigo23/my_awesome_opus_books_model with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("vertigo23/my_awesome_opus_books_model")
model = AutoModelForSeq2SeqLM.from_pretrained("vertigo23/my_awesome_opus_books_model")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 |
|---|---|---|---|---|---|
| No log | 1.0 | 71 | 3.6129 | 0.4064 | 16.8861 |
| No log | 2.0 | 142 | 3.5309 | 0.3873 | 16.8861 |
Base model
google-t5/t5-small