52100176-NguyenTrongDat/Data_teencode
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How to use 52100176-NguyenTrongDat/barthpho-vietnamese with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("52100176-NguyenTrongDat/barthpho-vietnamese")
model = AutoModelForSeq2SeqLM.from_pretrained("52100176-NguyenTrongDat/barthpho-vietnamese", device_map="auto")This model is a fine-tuned version of vinai/bartpho-syllable on the None 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 | Sacrebleu |
|---|---|---|---|---|
| No log | 1.0 | 3737 | 0.0073 | 53.9308 |
| No log | 2.0 | 7474 | 0.0033 | 54.5296 |
| No log | 3.0 | 11211 | 0.0021 | 54.7004 |
Base model
vinai/bartpho-syllable