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xtreme_s_xlsr_mls_upd
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - MLS.PL dataset. It achieves the following results on the evaluation set:
- Loss: 3.1489
- Wer: 1.0
- Cer: 1.0
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: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.4678 | 0.59 | 20 | 3.4581 | 1.0 | 1.0 |
| 3.1713 | 1.18 | 40 | 3.1816 | 1.0 | 1.0 |
| 3.134 | 1.76 | 60 | 3.1538 | 1.0 | 1.0 |
| 3.132 | 2.35 | 80 | 3.1411 | 1.0 | 1.0 |
| 3.1295 | 2.94 | 100 | 3.1373 | 1.0 | 1.0 |
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.4.dev0
- Tokenizers 0.11.6
