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whisper-small-hi-gpu_ft2 – AI Model by RamNaamSatyaHai | AlphaNeural AI
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whisper-small-hi-gpu_ft2
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transformers
pytorch
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 gpu_ft2
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: 9.0140
Wer: 1650.1227
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
10.8731
0.12
25
10.3543
494.5780
9.671
0.24
50
9.0140
1650.1227
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+rocm5.4.2
Datasets 2.14.5
Tokenizers 0.12.1
