wav2vec2-large-xlsr-53-Kashmiri-Version6
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4539
- Wer: 0.8475
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1917 | 17.9372 | 2000 | 2.9348 | 0.9996 |
| 1.8244 | 35.8744 | 4000 | 1.6918 | 0.9320 |
| 1.6052 | 53.8117 | 6000 | 1.5101 | 0.8719 |
| 1.7063 | 71.7489 | 8000 | 1.4871 | 0.8511 |
| 1.4392 | 89.6861 | 10000 | 1.4539 | 0.8475 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
facebook/wav2vec2-large-xlsr-53