metadata
language:
- es
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
base_model: openai/whisper-small
model-index:
- name: Whisper Small Spanish
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: mozilla-foundation/common_voice_11_0 es
type: mozilla-foundation/common_voice_11_0
config: es
split: test
args: es
metrics:
- type: wer
value: 8.212281066472636
name: Wer
Whisper Small Spanish
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 es dataset. It achieves the following results on the evaluation set:
- Loss: 0.2210
- Wer: 8.2123
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: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1386 | 4.01 | 1000 | 0.2464 | 9.8000 |
| 0.1098 | 8.01 | 2000 | 0.2272 | 8.6229 |
| 0.028 | 12.02 | 3000 | 0.2577 | 8.6956 |
| 0.1083 | 16.02 | 4000 | 0.2210 | 8.2123 |
| 0.0189 | 20.03 | 5000 | 0.2520 | 8.4455 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3