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---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- data/copas
metrics:
- wer
model-index:
- name: Whisper Small dysarthric Dutch
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: data/copas copas-full
type: data/copas
config: copas-full
split: test
args: copas-full
metrics:
- name: Wer
type: wer
value: 22.163827473722364
---
<!-- 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 dysarthric Dutch
This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the data/copas copas-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4702
- Wer: 22.1638
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1618 | 0.05 | 500 | 0.3787 | 28.9235 |
| 0.0583 | 1.05 | 1000 | 0.3732 | 25.7702 |
| 0.0382 | 2.05 | 1500 | 0.4001 | 25.4621 |
| 0.0316 | 3.05 | 2000 | 0.4081 | 24.7010 |
| 0.0169 | 4.05 | 2500 | 0.4325 | 24.1935 |
| 0.0153 | 5.05 | 3000 | 0.4325 | 33.4179 |
| 0.0074 | 6.05 | 3500 | 0.4367 | 23.9398 |
| 0.0096 | 7.05 | 4000 | 0.4390 | 23.3055 |
| 0.0054 | 8.05 | 4500 | 0.4441 | 23.7042 |
| 0.0032 | 9.04 | 5000 | 0.4493 | 23.2693 |
| 0.004 | 10.04 | 5500 | 0.4524 | 23.3418 |
| 0.0048 | 11.04 | 6000 | 0.4498 | 23.7224 |
| 0.001 | 12.04 | 6500 | 0.4577 | 22.8887 |
| 0.0002 | 13.04 | 7000 | 0.4577 | 22.0913 |
| 0.0001 | 14.04 | 7500 | 0.4616 | 22.1276 |
| 0.0001 | 15.04 | 8000 | 0.4639 | 22.2726 |
| 0.0001 | 16.04 | 8500 | 0.4662 | 22.1095 |
| 0.0001 | 17.04 | 9000 | 0.4684 | 22.1457 |
| 0.0001 | 18.04 | 9500 | 0.4697 | 22.1457 |
| 0.0001 | 19.04 | 10000 | 0.4702 | 22.1638 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1
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