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wav2vec2-large-xlsr-53-Kashmiri – AI Model by KhushiDS | AlphaNeural AI
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KhushiDS
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wav2vec2-large-xlsr-53-Kashmiri
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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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Model card
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wav2vec2-large-xlsr-53-Kashmiri-Version5
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: 2.2695
Wer: 0.7127
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: 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
0.8765
17.9372
2000
1.3946
0.7751
0.3408
35.8744
4000
1.7068
0.7415
0.2659
53.8117
6000
1.9919
0.7043
0.155
71.7489
8000
2.1453
0.7087
0.0802
89.6861
10000
2.2695
0.7127
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
