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whisper-small-ml – AI Model by Gbssreejith | AlphaNeural AI
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whisper-small-ml
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ml
malayalam
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small ml
This model is a fine-tuned version of
openai/whisper-small
on the malayalam speech dataset. It achieves the following results on the evaluation set:
Loss: 0.0355
Wer: 36.5156
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: 1000
training_steps: 8000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0147
2.1716
2000
0.0248
43.0349
0.0051
4.3431
4000
0.0258
38.2522
0.0011
6.5147
6000
0.0317
37.6022
0.0009
8.6862
8000
0.0355
36.5156
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
