metadata
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: dysarthria_emo_enhancer_0_0
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: custom_torgo_0_0
type: mozilla-foundation/common_voice_13_0
metrics:
- name: Wer
type: wer
value: 33.51724137931035
dysarthria_emo_enhancer_0_0
This model is a fine-tuned version of openai/whisper-small on the custom_torgo_0_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5371
- Wer Ortho: 50.5634
- Wer: 33.5172
And the following results on the TORGO + UAS training set:
- Acc: 0.30
- Wer: 80.63
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 3.4478 | 0.35 | 50 | 3.6845 | 67.3239 | 50.4828 |
| 2.3364 | 0.7 | 100 | 2.4193 | 60.5634 | 44.0 |
| 0.2024 | 1.05 | 150 | 0.7172 | 56.4789 | 36.6897 |
| 0.3609 | 1.39 | 200 | 0.5792 | 54.9296 | 36.8276 |
| 0.2227 | 1.74 | 250 | 0.5763 | 53.9437 | 35.4483 |
| 0.0752 | 2.09 | 300 | 0.5516 | 53.6620 | 34.8966 |
| 0.0249 | 2.44 | 350 | 0.5511 | 46.7606 | 29.5172 |
| 0.17 | 2.79 | 400 | 0.5289 | 50.4225 | 31.8621 |
| 0.0736 | 3.14 | 450 | 0.5618 | 51.5493 | 32.5517 |
| 0.0375 | 3.48 | 500 | 0.5371 | 50.5634 | 33.5172 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1