whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask020-freqmask020
This model is a fine-tuned version of openai/whisper-base on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3065
- Wer: 31.6536
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.8775 | 0.72 | 1000 | 0.4722 | 45.7067 |
0.6983 | 1.44 | 2000 | 0.3854 | 38.8275 |
0.5251 | 2.17 | 3000 | 0.3505 | 35.8143 |
0.5001 | 2.89 | 4000 | 0.3291 | 33.8619 |
0.4956 | 3.61 | 5000 | 0.3192 | 33.0405 |
0.4256 | 4.33 | 6000 | 0.3110 | 32.4364 |
0.398 | 5.06 | 7000 | 0.3081 | 32.0588 |
0.3921 | 5.78 | 8000 | 0.3065 | 31.6536 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Downloads last month
- 77
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for LadislavVasina1/whisper-base-cs-cv11-timestetch02-gain01-pitch02-gaussian02-lowpass01-timemask020-freqmask020
Base model
openai/whisper-base