english-filipino-wav2vec2-l-xls-r-test-06
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.5806
- Wer: 0.6568
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: 0.002
- train_batch_size: 8
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0031 | 2.09 | 400 | 1.2366 | 0.8780 |
| 0.9084 | 4.19 | 800 | 1.0653 | 0.8081 |
| 0.6484 | 6.28 | 1200 | 1.1648 | 0.8258 |
| 0.5335 | 8.38 | 1600 | 1.0903 | 0.7542 |
| 0.4359 | 10.47 | 2000 | 0.9466 | 0.7058 |
| 0.3629 | 12.57 | 2400 | 0.9266 | 0.7048 |
| 0.3057 | 14.66 | 2800 | 1.0879 | 0.7018 |
| 0.2477 | 16.75 | 3200 | 1.1113 | 0.7022 |
| 0.208 | 18.85 | 3600 | 1.1345 | 0.6742 |
| 0.1781 | 20.94 | 4000 | 1.3117 | 0.6974 |
| 0.1465 | 23.04 | 4400 | 1.3248 | 0.6916 |
| 0.1288 | 25.13 | 4800 | 1.4306 | 0.6523 |
| 0.1108 | 27.23 | 5200 | 1.5155 | 0.6685 |
| 0.099 | 29.32 | 5600 | 1.5806 | 0.6568 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.