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results – AI Model by TheRamsay | AlphaNeural AI
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TheRamsay
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transformers
safetensors
speech-encoder-decoder
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
endpoints_compatible
us
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This model is a fine-tuned version of
on the common_voice_17_0 dataset.
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.08
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
1.0
1
10.6285
19.4573
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
