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wav2vec2-large-xls-r-300m-romansh-sursilvan
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - RM-SURSILV dataset. It achieves the following results on the evaluation set:
- Loss: 0.2163
- Wer: 0.1981
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: 7e-05
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 120.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1004 | 23.81 | 2000 | 0.3710 | 0.4191 |
| 0.7002 | 47.62 | 4000 | 0.2342 | 0.2562 |
| 0.5573 | 71.43 | 6000 | 0.2175 | 0.2177 |
| 0.4799 | 95.24 | 8000 | 0.2109 | 0.1987 |
| 0.4511 | 119.05 | 10000 | 0.2164 | 0.1975 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0
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Dataset used to train infinitejoy/wav2vec2-large-xls-r-300m-romansh-sursilvan
Evaluation results
- Test WER on Common Voice 7self-reported19.816
- Test CER on Common Voice 7self-reported4.153