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EDUPJ2
GUSGUSxCAT/EDUPJ2
EDUPJ2 is a automatic speech recognition model from GUSGUSxCAT. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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1.3 GB on disk
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025
- SHA
- 807fea51
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wav2vec2-th-finetuned
This model is a fine-tuned version of airesearch/wav2vec2-large-xlsr-53-th on the common_voice_17_0 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-sa-4.0
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025