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whisper-small-finetune-tl – AI Model by LWobole | AlphaNeural AI
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whisper-small-finetune-tl
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
tl
google/fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper-Small-Tl - LWobole
This model is a fine-tuned version of
openai/whisper-small
on the fleurs-fil_ph dataset. It achieves the following results on the evaluation set:
Loss: 0.3868
Wer: 16.0433
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 800
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2124
1.3889
200
0.3847
18.5317
0.0993
2.7778
400
0.3647
16.8689
0.0289
4.1667
600
0.3793
16.0278
0.019
5.5556
800
0.3868
16.0433
Framework versions
Transformers 4.51.3
Pytorch 2.2.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1
