metadata
language:
- gn
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: Common Voice 16 - Guarani
results: []
Common Voice 16 - Guarani
This model is a fine-tuned version of openai/whisper-base on the Common Voice 16 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4508
- Cer: 12.2672
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 3000
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.3843 | 0.4955 | 500 | 0.7760 | 20.1410 |
| 0.832 | 0.9911 | 1000 | 0.5657 | 16.6787 |
| 0.4694 | 1.4866 | 1500 | 0.5170 | 14.5543 |
| 0.3654 | 1.9822 | 2000 | 0.4646 | 12.7373 |
| 0.2036 | 2.4777 | 2500 | 0.4744 | 12.9181 |
| 0.1912 | 2.9732 | 3000 | 0.4508 | 12.2672 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1