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whisper-medium-es-common-fleurs – AI Model by juancopi81 | AlphaNeural AI
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whisper-medium-es-common-fleurs
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
es
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Es - Sanchit Gandhi
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: 0.1883
Wer: 6.0743
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: 32
eval_batch_size: 16
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0694
0.2
1000
0.2194
6.8194
0.0336
0.4
2000
0.2097
6.7558
0.0221
0.6
3000
0.2068
6.4952
0.0266
0.8
4000
0.1950
6.2841
0.0256
1.0
5000
0.1883
6.0743
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
