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whisper-tiny-ft-cy-en – AI Model by techiaith | AlphaNeural AI
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techiaith
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whisper-tiny-ft-cy-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
cy
en
apache-2.0
endpoints_compatible
us
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whisper-tiny-ft-cy-en
This model is a fine-tune of
openai/whisper-tiny
using custom splits from Common Voice 16.1 Welsh and English datasets as well as normalized verbatim transcriptions from
techiaith/banc-trawsgrifiadau-bangor
Intended uses & limitations
Due to its small size, this model is intended to be used as the basis for offline speech recognition on devices such as Android phones.
Training and evaluation data
It achieves the following results on the evaluation set:
Loss: 0.7176
Wer: 53.1135
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.8115
1.41
1000
0.8426
60.0795
0.6396
2.83
2000
0.7508
54.4259
0.5259
4.24
3000
0.7255
53.1328
0.4854
5.66
4000
0.7176
53.1135
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
