metadata
language:
- pt
license: apache-2.0
base_model: openai/whisper-medium
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Medium Portuguese
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_13_0 pt
type: mozilla-foundation/common_voice_13_0
config: pt
split: test
args: pt
metrics:
- name: Wer
type: wer
value: 7.115631058390563
Whisper Medium Portuguese
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_13_0 pt dataset. It achieves the following results on the evaluation set:
- Loss: 0.2733
- Wer: 7.1156
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: 64
- eval_batch_size: 32
- seed: 42
- 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 |
|---|---|---|---|---|
| 0.0335 | 3.52 | 1000 | 0.2096 | 7.4771 |
| 0.0073 | 7.04 | 2000 | 0.2733 | 7.1156 |
| 0.0049 | 10.56 | 3000 | 0.2880 | 7.2520 |
| 0.0031 | 14.08 | 4000 | 0.3146 | 7.6233 |
| 0.0025 | 17.61 | 5000 | 0.3191 | 7.7416 |
| 0.0012 | 21.13 | 6000 | 0.3269 | 7.7942 |
| 0.0022 | 24.65 | 7000 | 0.3430 | 7.9141 |
| 0.0018 | 28.17 | 8000 | 0.3581 | 8.0242 |
| 0.0007 | 31.69 | 9000 | 0.3701 | 8.1556 |
| 0.001 | 35.21 | 10000 | 0.3582 | 8.0390 |
| 0.0002 | 38.73 | 11000 | 0.3851 | 7.8467 |
| 0.0004 | 42.25 | 12000 | 0.3890 | 8.1622 |
| 0.0001 | 45.77 | 13000 | 0.3757 | 8.0636 |
| 0.0 | 49.3 | 14000 | 0.4009 | 7.8895 |
| 0.0 | 52.82 | 15000 | 0.4136 | 7.8352 |
| 0.0 | 56.34 | 16000 | 0.4231 | 7.8106 |
| 0.0 | 59.86 | 17000 | 0.4311 | 7.7432 |
| 0.0 | 63.38 | 18000 | 0.4380 | 7.7022 |
| 0.0 | 66.9 | 19000 | 0.4430 | 7.6808 |
| 0.0 | 70.42 | 20000 | 0.4452 | 7.6644 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.1