<!-- 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. -->
Model_G_Wav2Vec2_Versi1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4072
- Wer: 1.0101
- Cer: 0.7622
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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.7506 | 5.97 | 400 | 0.6970 | 1.0124 | 0.7636 |
| 0.3678 | 11.94 | 800 | 0.4711 | 1.0290 | 0.7660 |
| 0.1612 | 17.91 | 1200 | 0.4492 | 1.0007 | 0.7606 |
| 0.1056 | 23.88 | 1600 | 0.4012 | 1.0040 | 0.7658 |
| 0.0693 | 29.85 | 2000 | 0.4072 | 1.0101 | 0.7622 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
