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my_awesome_asr_mind_model – AI Model by Abdallahsadek | AlphaNeural AI
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my_awesome_asr_mind_model
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
minds14
facebook/wav2vec2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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my_awesome_asr_mind_model
This model is a fine-tuned version of
facebook/wav2vec2-base
on the minds14 dataset. It achieves the following results on the evaluation set:
Loss: 3.0033
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use 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: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.0201
17.7778
1000
3.0384
1.0
2.9545
35.5556
2000
3.0033
1.0
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
