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| Model | WER | # Parameters |
|---|---|---|
| jlondonobo/whisper-large-v2-pt | 5.590 🤗 | 1550M |
| openai/whisper-large-v2 | 6.300 | 1550M |
| jlondonobo/whisper-medium-pt | 6.579 | 769M |
| jonatasgrosman/wav2vec2-large-xlsr-53-portuguese | 11.310 | 317M |
| Edresson/wav2vec2-large-xlsr-coraa-portuguese | 20.080 | 317M |
learning_rate: 1e-05train_batch_size: 16eval_batch_size: 8seed: 42gradient_accumulation_steps: 2total_train_batch_size: 32optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08lr_scheduler_type: linearlr_scheduler_warmup_steps: 500training_steps: 5000mixed_precision_training: Native AMP| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0828 | 1.09 | 1000 | 0.1868 | 6.778 |
| 0.0241 | 3.07 | 2000 | 0.2057 | 6.109 |
| 0.0084 | 5.06 | 3000 | 0.2367 | 6.029 |
| 0.0015 | 7.04 | 4000 | 0.2469 | 5.709 |
| 0.0009 | 9.02 | 5000 | 0.2821 | 5.590 🤗 |