Whisper Large-V2 Portuguese
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_13_0 pt dataset. It achieves the following results on the evaluation set:
- Loss: 0.4115
- Wer: 6.4502
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: 16
- 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: 20000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0424 | 3.53 | 1000 | 0.1879 | 5.9886 |
0.0093 | 7.05 | 2000 | 0.2493 | 6.2744 |
0.0049 | 10.58 | 3000 | 0.2656 | 6.3500 |
0.0031 | 14.11 | 4000 | 0.2850 | 6.4256 |
0.0029 | 17.64 | 5000 | 0.3013 | 6.5833 |
0.0053 | 21.16 | 6000 | 0.2810 | 6.7969 |
0.0033 | 24.69 | 7000 | 0.3072 | 6.8905 |
0.0007 | 28.22 | 8000 | 0.3210 | 6.7312 |
0.0021 | 31.75 | 9000 | 0.3311 | 6.9924 |
0.0006 | 35.27 | 10000 | 0.3188 | 6.7295 |
0.0002 | 38.8 | 11000 | 0.3336 | 6.6589 |
0.0004 | 42.33 | 12000 | 0.3465 | 6.9086 |
0.0004 | 45.86 | 13000 | 0.3340 | 6.9924 |
0.0001 | 49.38 | 14000 | 0.3607 | 6.8199 |
0.0001 | 52.91 | 15000 | 0.3779 | 6.6112 |
0.0 | 56.44 | 16000 | 0.3884 | 6.5505 |
0.0 | 59.96 | 17000 | 0.3966 | 6.4897 |
0.0 | 63.49 | 18000 | 0.4039 | 6.4650 |
0.0 | 67.02 | 19000 | 0.4091 | 6.4486 |
0.0 | 70.55 | 20000 | 0.4115 | 6.4502 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.1
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Model tree for zuazo/whisper-large-v2-pt-old
Base model
openai/whisper-large-v2
Finetuned
this model
Dataset used to train zuazo/whisper-large-v2-pt-old
Evaluation results
- Wer on mozilla-foundation/common_voice_13_0 pttest set self-reported6.450