|
--- |
|
language: |
|
- es |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Base Spanish |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_13_0 es |
|
type: mozilla-foundation/common_voice_13_0 |
|
config: es |
|
split: test |
|
args: es |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 13.531181636803376 |
|
--- |
|
|
|
<!-- 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 Base Spanish |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_13_0 es dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3281 |
|
- Wer: 13.5312 |
|
|
|
## 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: 2.5e-05 |
|
- train_batch_size: 128 |
|
- eval_batch_size: 64 |
|
- 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 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.2173 | 4.0 | 1000 | 0.3409 | 14.8123 | |
|
| 0.0955 | 8.01 | 2000 | 0.3377 | 15.4269 | |
|
| 0.1647 | 12.01 | 3000 | 0.3393 | 14.5602 | |
|
| 0.0986 | 16.01 | 4000 | 0.3281 | 13.5312 | |
|
| 0.1272 | 20.02 | 5000 | 0.3423 | 13.7596 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|