wav2vec2-kashmiri – AI Model by Muzaffar786 | AlphaNeural AI

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Muzaffar786/
wav2vec2-kashmiri

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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wav2vec2-kashmiri

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: 3.3720
Wer: 1.0

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: 0.0005
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
17.6618	0.7143	5	14.9139	1.0
13.485	1.4286	10	5.8398	1.0
5.3004	2.1429	15	4.0354	1.0
3.941	2.8571	20	3.5846	1.0
3.6257	3.5714	25	3.4387	1.0
3.5118	4.2857	30	3.3843	1.0
3.4248	5.0	35	3.3720	1.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0