metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-960h-lv60-self
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-960h-lv60-self-dysarthria
results: []
wav2vec2-large-960h-lv60-self-dysarthria
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2385
- Wer: 1.0
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 20.9703 | 3.2 | 200 | 3.5607 | 1.0 |
| 3.4216 | 6.4 | 400 | 3.3741 | 1.0 |
| 3.3062 | 9.6 | 600 | 3.1419 | 1.0 |
| 2.994 | 12.8 | 800 | 2.6835 | 1.0 |
| 2.7361 | 16.0 | 1000 | 2.4129 | 1.0 |
| 2.6005 | 19.2 | 1200 | 2.2973 | 1.0 |
| 2.5724 | 22.4 | 1400 | 2.2520 | 1.0 |
| 2.619 | 25.6 | 1600 | 2.2435 | 1.0 |
| 2.5278 | 28.8 | 1800 | 2.2385 | 1.0 |
Framework versions
- Transformers 4.43.2
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1