metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-ccv-cy
results: []
wav2vec2-xlsr-53-ft-btb-ccv-cy
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5418
- Wer: 0.4178
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0672 | 200 | 3.1445 | 1.0 |
| No log | 0.1344 | 400 | 2.7407 | 1.0000 |
| 4.0188 | 0.2016 | 600 | 1.2700 | 0.8484 |
| 4.0188 | 0.2688 | 800 | 0.9953 | 0.7435 |
| 1.0707 | 0.3360 | 1000 | 0.8647 | 0.6541 |
| 1.0707 | 0.4032 | 1200 | 0.7889 | 0.5784 |
| 1.0707 | 0.4704 | 1400 | 0.7465 | 0.5440 |
| 0.8175 | 0.5376 | 1600 | 0.6828 | 0.5042 |
| 0.8175 | 0.6048 | 1800 | 0.6549 | 0.4952 |
| 0.7148 | 0.6720 | 2000 | 0.6290 | 0.4906 |
| 0.7148 | 0.7392 | 2200 | 0.6113 | 0.4576 |
| 0.7148 | 0.8065 | 2400 | 0.5719 | 0.4405 |
| 0.6374 | 0.8737 | 2600 | 0.5644 | 0.4314 |
| 0.6374 | 0.9409 | 2800 | 0.5483 | 0.4190 |
| 0.6013 | 1.0081 | 3000 | 0.5418 | 0.4178 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1