whisper-small-tw – AI Model by AlanDlink | AlphaNeural AI

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AlanDlink/
whisper-small-tw

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hf-asr-leaderboard

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mozilla-foundation/common_voice_15_0

openai/whisper-small

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Whisper small TW - AlanDlink

This model is a fine-tuned version of openai/whisper-small on the Common Voice 15.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2175

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: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2151	1.33	1000	2.1197
0.5107	2.67	2000	0.4872
0.294	4.0	3000	0.2780
0.229	5.33	4000	0.2428
0.2193	6.67	5000	0.2278
0.2292	8.0	6000	0.2213
0.2288	9.33	7000	0.2184
0.2065	10.67	8000	0.2175

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0