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xls-r-1b-bemba-10hrs
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2350
- Wer: 0.3524
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.2547 | 0.54 | 400 | 0.4199 | 0.5888 |
0.5422 | 1.07 | 800 | 0.2689 | 0.4360 |
0.4154 | 1.61 | 1200 | 0.2342 | 0.4008 |
0.4075 | 2.15 | 1600 | 0.2172 | 0.3579 |
0.3326 | 2.68 | 2000 | 0.2151 | 0.3603 |
0.2837 | 3.22 | 2400 | 0.2117 | 0.3505 |
0.2688 | 3.76 | 2800 | 0.2040 | 0.3559 |
0.2401 | 4.3 | 3200 | 0.2099 | 0.3445 |
0.2176 | 4.83 | 3600 | 0.1973 | 0.3299 |
0.1913 | 5.37 | 4000 | 0.2123 | 0.3432 |
0.1683 | 5.91 | 4400 | 0.2032 | 0.3358 |
0.1445 | 6.44 | 4800 | 0.2350 | 0.3524 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1