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my_awesome_asr_mind_model – AI Model by GiuntaLuana | 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: 24.1755
Wer: 1.1864
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
34.7756
0.5
5
24.1755
1.1864
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
