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FROM_C3_2 – AI Model by EYEDOL | AlphaNeural AI
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EYEDOL
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FROM_C3_2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
sw
mozilla-foundation/common_voice_11_0
EYEDOL/FROM_C3_1
finetune
model-index
endpoints_compatible
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ASR_FROM_C3
This model is a fine-tuned version of
EYEDOL/FROM_C3_1
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2333
Wer: 17.0299
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0582
0.8684
2000
0.2333
17.0299
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
