metadata
language:
- pt
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large-V3 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: 5.180231985016266
Whisper Large-V3 Portuguese
This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/common_voice_13_0 pt dataset. It achieves the following results on the evaluation set:
- Loss: 0.3553
- Wer: 5.1802
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 |
|---|---|---|---|---|
| 0.0316 | 3.53 | 1000 | 0.1632 | 4.6397 |
| 0.0066 | 7.05 | 2000 | 0.2164 | 4.8944 |
| 0.0032 | 10.58 | 3000 | 0.2438 | 5.0619 |
| 0.0011 | 14.11 | 4000 | 0.2523 | 5.0751 |
| 0.0037 | 17.64 | 5000 | 0.2481 | 5.2460 |
| 0.0011 | 21.16 | 6000 | 0.2683 | 5.3692 |
| 0.0033 | 24.69 | 7000 | 0.2756 | 5.5844 |
| 0.0009 | 28.22 | 8000 | 0.2769 | 5.4628 |
| 0.0013 | 31.75 | 9000 | 0.2664 | 5.4349 |
| 0.0007 | 35.27 | 10000 | 0.3020 | 5.4776 |
| 0.0005 | 38.8 | 11000 | 0.2886 | 5.4595 |
| 0.0003 | 42.33 | 12000 | 0.3016 | 5.3265 |
| 0.0003 | 45.86 | 13000 | 0.3040 | 5.5121 |
| 0.0001 | 49.38 | 14000 | 0.3147 | 5.4480 |
| 0.0001 | 52.91 | 15000 | 0.3071 | 5.4300 |
| 0.0 | 56.44 | 16000 | 0.3307 | 5.3051 |
| 0.0 | 59.96 | 17000 | 0.3412 | 5.2476 |
| 0.0 | 63.49 | 18000 | 0.3483 | 5.2016 |
| 0.0 | 67.02 | 19000 | 0.3532 | 5.1884 |
| 0.0 | 70.55 | 20000 | 0.3553 | 5.1802 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.1