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bach-arb
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-german on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9404
- Wer: 0.6130
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: 115
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 27.8653 | 7.14 | 100 | 3.1369 | 1.0 |
| 2.5975 | 14.28 | 200 | 2.1223 | 0.9976 |
| 1.2001 | 21.41 | 300 | 1.7455 | 0.8774 |
| 0.5938 | 28.55 | 400 | 1.8534 | 0.7981 |
| 0.4001 | 35.69 | 500 | 2.3318 | 0.7740 |
| 0.2895 | 42.83 | 600 | 2.2214 | 0.7163 |
| 0.1853 | 49.97 | 700 | 2.4841 | 0.7043 |
| 0.1318 | 57.14 | 800 | 2.9749 | 0.7139 |
| 0.1067 | 64.28 | 900 | 2.4759 | 0.7115 |
| 0.0635 | 71.41 | 1000 | 2.6708 | 0.6635 |
| 0.0515 | 78.55 | 1100 | 3.0593 | 0.6923 |
| 0.0455 | 85.69 | 1200 | 2.9637 | 0.6587 |
| 0.0329 | 92.83 | 1300 | 2.9837 | 0.6346 |
| 0.0232 | 99.97 | 1400 | 2.9361 | 0.6178 |
| 0.021 | 107.14 | 1500 | 2.9221 | 0.6010 |
| 0.0193 | 114.28 | 1600 | 2.9404 | 0.6130 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
