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whisper-small-fy-NL – AI Model by Rijgersberg | AlphaNeural AI
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whisper-small-fy-NL
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-small-fy-NL
This model is a fine-tuned version of
openai/whisper-small
on the
CommonVoice 11
fy-NL
(West-Frisian)
dataset. It achieves the following results on the evaluation set:
Loss: 0.5276
Wer: 0.2919
The Wer before finetuning was 1.0622.
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0
0
1.0622
0.9177
1.0
211
0.8145
0.3450
0.5807
2.0
422
0.7113
0.3640
0.2884
3.0
633
0.5276
0.2919
Framework versions
Transformers 4.24.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
