abkhaz-asr-kaggle-2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4967
- eval_wer: 0.8108
- eval_runtime: 761.3529
- eval_samples_per_second: 11.975
- eval_steps_per_second: 1.497
- epoch: 0.4505
- step: 1700
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.45.1
- Pytorch 2.5.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for MatricariaV/abkhaz-asr-kaggle-2
Base model
facebook/wav2vec2-xls-r-300m