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whisper-tiny-sinhala-20k – AI Model by Ransaka | AlphaNeural AI
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whisper-tiny-sinhala-20k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Ransaka/SinhalaASR
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-sinhala-20k
This model is a fine-tuned version of
openai/whisper-tiny
on the sinhala_asr dataset. It achieves the following results on the evaluation set:
Loss: 0.2433
Wer: 92.9960
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: 8
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
0.4207
0.4
1000
0.3978
221.9058
0.2966
0.8
2000
0.3009
136.3423
0.226
1.2
3000
0.2661
97.6638
0.2224
1.6
4000
0.2510
92.3279
0.2034
2.0
5000
0.2433
92.9960
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
