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YAML Metadata
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"language[0]" with value "hy-AM" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
wav2vec2-large-xls-r-300m-armenian
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HY-AM dataset. It achieves the following results on the evaluation set:
- Loss: 0.9669
- Wer: 0.6942
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 200.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.7294 | 27.78 | 500 | 0.8540 | 0.9944 |
| 0.8863 | 55.56 | 1000 | 0.7282 | 0.7312 |
| 0.5789 | 83.33 | 1500 | 0.8178 | 0.8102 |
| 0.3899 | 111.11 | 2000 | 0.8034 | 0.7701 |
| 0.2869 | 138.89 | 2500 | 0.9061 | 0.6999 |
| 0.1934 | 166.67 | 3000 | 0.9400 | 0.7105 |
| 0.1551 | 194.44 | 3500 | 0.9667 | 0.6955 |
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-armenian
Spaces using infinitejoy/wav2vec2-large-xls-r-300m-armenian 31
Evaluation results
- Test WER on Common Voice 7self-reported101.627
- Test CER on Common Voice 7self-reported158.767