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Compare_XLS_R_to_Whisper_demo_google_colab_Ezra_William_Prod_2 – AI Model by EzraWilliam | AlphaNeural AI
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Compare_XLS_R_to_Whisper_demo_google_colab_Ezra_William_Prod_2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
id
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Id - Ezra William
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4447
Wer: 22.3350
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0438
3.1646
1000
0.3611
22.5855
0.0057
6.3291
2000
0.4113
22.3624
0.0015
9.4937
3000
0.4366
22.3123
0.0011
12.6582
4000
0.4447
22.3350
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
