Helsinki-NLP/opus_books
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How to use fernandohf/model_en_pt with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("fernandohf/model_en_pt")
model = AutoModelForSeq2SeqLM.from_pretrained("fernandohf/model_en_pt")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 | 79 | 3.4923 | 1.2907 | 17.2624 |
| No log | 2.0 | 158 | 3.3099 | 0.8388 | 17.2482 |
| No log | 3.0 | 237 | 3.2192 | 0.8526 | 17.7021 |
| No log | 4.0 | 316 | 3.1709 | 0.9618 | 17.8298 |
| No log | 5.0 | 395 | 3.1561 | 1.0547 | 17.8369 |
Base model
google-t5/t5-small