wav2vec2-conformer-rope-large-960h-ft-armenian-CV17.0
This model is a fine-tuned version of facebook/wav2vec2-conformer-rope-large-960h-ft on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.1627
- Wer: 0.9909
- Cer: 0.8400
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.2764 | 1.0 | 325 | 3.1252 | 1.0 | 0.9984 |
| 2.9396 | 2.0 | 650 | 3.1627 | 0.9909 | 0.8400 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Evaluation results
- Wer on common_voice_17_0self-reported0.991