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mr-val-h2 – AI Model by simran14 | AlphaNeural AI
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simran14
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mr-val-h2
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tensorboard
safetensors
whisper
generated_from_trainer
mr
mozilla-foundation/common_voice_17_0
simran14/mr-model-g
finetune
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simrank14 Whisper small valH
This model is a fine-tuned version of
simran14/mr-val-g
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0009
Wer: 0.1069
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: 5e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0003
2.0
1000
0.0009
0.1069
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
