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whisper-tiny-tw – AI Model by AlanDlink | AlphaNeural AI
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whisper-tiny-tw
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peft
tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
zh
mozilla-foundation/common_voice_15_0
openai/whisper-tiny
adapter
apache-2.0
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Whisper tiny TW - AlanDlink
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 15.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6078
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.3802
0.67
500
3.3992
2.1962
1.33
1000
2.1643
1.4348
2.0
1500
1.4068
0.7108
2.67
2000
0.6926
0.6801
3.33
2500
0.6374
0.6273
4.0
3000
0.6195
0.6001
4.67
3500
0.6106
0.6082
5.33
4000
0.6078
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0
