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whisper-jrb-small-es – AI Model by jbatista79 | AlphaNeural AI
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whisper-jrb-small-es
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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openai/whisper-small
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: 0.2191
Wer: 8.4397
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2725
0.07
1000
0.2674
10.3120
0.2462
0.14
2000
0.2478
9.6876
0.2216
0.21
3000
0.2345
9.0724
0.2181
0.28
4000
0.2239
8.6235
0.187
0.35
5000
0.2191
8.4397
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.2.dev0
Tokenizers 0.15.0
