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my_awesome_asr_mind_model – AI Model by cdb-0 | AlphaNeural AI
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cdb-0
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my_awesome_asr_mind_model
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transformers
safetensors
wav2vec2
automatic-speech-recognition
trackio
https
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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my_awesome_asr_mind_model
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9195
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: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
23.2698
200.0
1000
2.9795
1.0
22.1086
400.0
2000
2.9195
1.0
Framework versions
Transformers 5.8.1
Pytorch 2.12.0+cu132
Datasets 4.8.5
Tokenizers 0.22.2
