|
--- |
|
language: |
|
- es |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Mezosky/es_clinical_assistance |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Chilean Spanish Small |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Mezosky/es_clinical_assistance |
|
type: Mezosky/es_clinical_assistance |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 204.97553017944537 |
|
--- |
|
|
|
<!-- 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 Chilean Spanish Small |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Mezosky/es_clinical_assistance dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.4659 |
|
- Wer: 204.9755 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- 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: 1000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 4.6451 | 6.25 | 100 | 4.5135 | 105.7912 | |
|
| 3.2485 | 12.5 | 200 | 3.3821 | 126.5905 | |
|
| 2.3839 | 18.75 | 300 | 2.9779 | 215.0897 | |
|
| 1.6538 | 25.0 | 400 | 3.0304 | 212.1533 | |
|
| 0.887 | 31.25 | 500 | 3.4092 | 221.3703 | |
|
| 0.3317 | 37.5 | 600 | 3.7754 | 191.3540 | |
|
| 0.1065 | 43.75 | 700 | 4.0480 | 235.1550 | |
|
| 0.0374 | 50.0 | 800 | 4.2473 | 185.4812 | |
|
| 0.0173 | 56.25 | 900 | 4.4145 | 187.5204 | |
|
| 0.014 | 62.5 | 1000 | 4.4659 | 204.9755 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
