whisper-large-v3-ft-train
This model is a fine-tuned version of openai/whisper-large-v3-turbo on an unknown 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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.46.0
- Pytorch 2.2.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
- Downloads last month
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for niu-neil/whisper-large-v3-ft-train
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo