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whisper-small-zh-cer – AI Model by Kathernie | AlphaNeural AI
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Kathernie
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whisper-small-zh-cer
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0005
Cer: 89.7499
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0811
6.25
200
0.0445
107.9126
0.0036
12.5
400
0.0036
102.3726
0.0007
18.75
600
0.0007
83.6138
0.0005
25.0
800
0.0005
92.7887
0.0005
31.25
1000
0.0005
89.7499
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0
