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whisper-tiny-es – AI Model by ctam8736 | AlphaNeural AI
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whisper-tiny-es
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
es
ctam8736/papi_asr
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper Small Papi/Es
This model is a fine-tuned version of
openai/whisper-tiny
on the Papi ASR Test dataset. It achieves the following results on the evaluation set:
Loss: 0.1243
Wer: 29.9772
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0881
0.34
200
0.1414
23.3066
0.0563
0.69
400
0.1388
23.8738
0.0416
1.03
600
0.1367
26.2630
0.044
1.38
800
0.1295
29.1289
0.0546
1.72
1000
0.1243
29.9772
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0
