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whisper-small-hi – AI Model by lw2333 | AlphaNeural AI
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whisper-small-hi
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
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: 0.4278
Wer: 33.0991
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0776
2.45
1000
0.3089
36.4514
0.0207
4.89
2000
0.3399
33.1372
0.0012
7.34
3000
0.4067
33.4081
0.0005
9.8
4000
0.4278
33.0991
Framework versions
Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3
