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whisper-small-as-500-64-1e-05-pretrain-bn – AI Model by kpriyanshu256 | AlphaNeural AI
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kpriyanshu256
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whisper-small-as-500-64-1e-05-pretrain-bn
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
as
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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openai/whisper-small-Assamese
This model is a fine-tuned version of
kpriyanshu256/whisper-small-as-500-64-1e-05-bn
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5071
Wer: 32.0159
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0658
8.01
100
0.3295
31.9978
0.0027
16.02
200
0.4516
31.8896
0.0005
24.02
300
0.4881
31.9256
0.0003
33.01
400
0.5026
31.9437
0.0003
41.02
500
0.5071
32.0159
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
