|
--- |
|
language: |
|
- ca |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
- hf-asr-leaderboard |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Catalan |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 ca |
|
type: mozilla-foundation/common_voice_11_0 |
|
args: 'config: ml, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 8.569471791798646 |
|
--- |
|
|
|
<!-- 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 Small Catalan |
|
|
|
This is an automatic speech recognition model that also does punctuation and casing. Vegeu [projecte de millora dels models Whisper](https://www.softcatala.org/projectes/millora-del-catala-dels-models-del-reconeixement-de-la-parla-whisper/) (Catalan). |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 ca dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1980 |
|
- Wer: 8.5695 |
|
|
|
## 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: 20000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.2128 | 0.1 | 2000 | 0.2644 | 13.0303 | |
|
| 0.1361 | 1.1 | 4000 | 0.2300 | 10.9568 | |
|
| 0.0658 | 2.1 | 6000 | 0.2376 | 11.2810 | |
|
| 0.102 | 3.09 | 8000 | 0.2156 | 9.8730 | |
|
| 0.0706 | 4.09 | 10000 | 0.2126 | 9.6179 | |
|
| 0.0428 | 5.09 | 12000 | 0.2178 | 9.3405 | |
|
| 0.0503 | 6.09 | 14000 | 0.2109 | 9.1356 | |
|
| 0.0778 | 7.08 | 16000 | 0.2058 | 9.2001 | |
|
| 0.0082 | 8.08 | 18000 | 0.2173 | 8.9941 | |
|
| 0.0994 | 9.08 | 20000 | 0.1980 | 8.5695 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.10.0+cu102 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
