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mr-val-g3 – AI Model by simran14 | AlphaNeural AI
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simran14
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mr-val-g3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_17_0
simran14/mr-model-f
finetune
model-index
endpoints_compatible
us
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simrank14 Whisper small valG
This model is a fine-tuned version of
simran14/mr-val-f
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0009
Wer: 0.090463
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
0.001
0.6098
1000
0.0017
0.154740
0.0006
1.2195
2000
0.0010
0.126172
0.0009
1.8293
3000
0.0008
0.090463
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.1.dev0
Tokenizers 0.19.1
