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XLRS-torgo
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 1.6074
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 |
|---|---|---|---|---|
| 2.554 | 3.54 | 400 | inf | 1.6325 |
| 2.3441 | 7.08 | 800 | inf | 1.6406 |
| 1.7386 | 10.62 | 1200 | inf | 1.5875 |
| 1.0358 | 14.16 | 1600 | inf | 1.6613 |
| 0.6366 | 17.7 | 2000 | inf | 1.5348 |
| 0.4175 | 21.24 | 2400 | inf | 1.6321 |
| 0.3001 | 24.78 | 2800 | inf | 1.5772 |
| 0.223 | 28.32 | 3200 | inf | 1.6074 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.1
