metadata
base_model: bofenghuang/whisper-large-v3-french-distil-dec8
language:
- fr
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: Whisper Large v3 French PraxySante - Fine-tuned
results: []
Whisper Large v3 French PraxySante - Fine-tuned
This model is a fine-tuned version of bofenghuang/whisper-large-v3-french-distil-dec8 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 300000
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.13.1.dev0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0