metadata
license: apache-2.0
base_model: giigii91/whisper-tiny_v2.1-ro
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: whisper-tiny_v2.2-ro
results: []
whisper-tiny_v2.2-ro
This model is a fine-tuned version of giigii91/whisper-tiny_v2.1-ro on the common_voice_11_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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1