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whisper-md-catala
JulioCastro/whisper-md-catala
whisper-md-catala is a automatic speech recognition model from JulioCastro. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
Whisper Md Ca - 1k This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 15, 2022
- Updated
- Dec 17, 2022
- SHA
- 3064c67d
Model card
From the Hugging Face model README
Whisper Md Ca - 1k This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2554 Wer: 10.9688 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: 32 eval_batch_size: 8 seed: 42 gradient_accumulation_steps: 2 total_train_batch_size: 64 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear lr_scheduler_warmup_steps: 100 training_steps: 1000 mixed_precision_training: Native AMP
Training results Training Loss Epoch Step Validation Loss Wer 0.2554 1.0 1000 0.2554 10.9688 Framework versions Transformers 4.26.0.dev0 Pytorch 1.13.1+cu117 Datasets 2.7.1.dev0 Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ca
- Created
- Dec 15, 2022
- Updated
- Dec 17, 2022