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wav2vec2-large-xlsr-53-Kashmiri-Version6 – AI Model by khushi1234455687 | AlphaNeural AI
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wav2vec2-large-xlsr-53-Kashmiri-Version6
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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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
