| | --- |
| | language: |
| | - es |
| | license: apache-2.0 |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper tiny Spanish |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: 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: |
| | - name: Wer |
| | type: wer |
| | value: 21.407411257211166 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Whisper tiny Spanish |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 es dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4412 |
| | - Wer: 21.4074 |
| | |
| | ## 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: 5000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.5354 | 2.01 | 1000 | 0.5196 | 25.5587 | |
| | | 0.3328 | 4.01 | 2000 | 0.4889 | 24.5940 | |
| | | 0.4702 | 6.02 | 3000 | 0.4589 | 22.8354 | |
| | | 0.2854 | 8.02 | 4000 | 0.4451 | 21.6198 | |
| | | 0.3537 | 10.03 | 5000 | 0.4412 | 21.4074 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.0+cu117 |
| | - Datasets 2.7.1.dev0 |
| | - Tokenizers 0.13.2 |
| |
|
