Transformers
PyTorch
Vietnamese
t5
text2text-generation
hf-asr-leaderboard
Generated from Trainer
text-generation-inference
Instructions to use Huyen2310/Vi-gec-wer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huyen2310/Vi-gec-wer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Huyen2310/Vi-gec-wer") model = AutoModelForSeq2SeqLM.from_pretrained("Huyen2310/Vi-gec-wer") - Notebooks
- Google Colab
- Kaggle
HuyenNguyen
This model is a fine-tuned version of Huyen2310/Vi-gec on the FPT dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Downloads last month
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