Helsinki-NLP/opus-100
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How to use pellucid/my_awesome_opus100_model with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("pellucid/my_awesome_opus100_model")
model = AutoModelForSeq2SeqLM.from_pretrained("pellucid/my_awesome_opus100_model", device_map="auto")This model is a fine-tuned version of KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-en2ko on the opus100 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 | 250 | nan | 2.9676 | 12.146 |
| 2.5985 | 2.0 | 500 | nan | 0.0 | 0.0 |
| 2.5985 | 3.0 | 750 | nan | 0.0 | 0.0 |