|
|
--- |
|
|
language: |
|
|
- hi |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-small |
|
|
tags: |
|
|
- hf-asr-leaderboard |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_11_0 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Small Hi - Swedish |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Common Voice 11.0 |
|
|
type: mozilla-foundation/common_voice_11_0 |
|
|
args: 'config: hi, split: test' |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 97.18480277486489 |
|
|
--- |
|
|
|
|
|
<!-- 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 Hi - Swedish |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3252 |
|
|
- Wer: 97.1848 |
|
|
|
|
|
## 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: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 16 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 500 |
|
|
- training_steps: 4000 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
|
| 0.1496 | 1.29 | 1000 | 0.2950 | 81.4552 | |
|
|
| 0.0532 | 2.59 | 2000 | 0.2897 | 63.8219 | |
|
|
| 0.0216 | 3.88 | 3000 | 0.3060 | 90.6321 | |
|
|
| 0.0044 | 5.18 | 4000 | 0.3252 | 97.1848 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.3 |
|
|
- Pytorch 2.1.1+cu118 |
|
|
- Datasets 2.14.7 |
|
|
- Tokenizers 0.11.0 |
|
|
|
