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small_8_a – AI Model by simran14 | AlphaNeural AI | AlphaNeural AI
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small_8_a
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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simrank14 Whisper small 1a 8e
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4155
Wer: 19.5972
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: 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: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0534
3.5587
1000
0.3273
20.1932
0.0016
7.1174
2000
0.4155
19.5972
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.1.dev0
Tokenizers 0.19.1
