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whisper-small-as-1000-64-1e-05 – AI Model by kpriyanshu256 | AlphaNeural AI
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whisper-small-as-1000-64-1e-05
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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
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7523
Wer: 42.1075
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: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2518
20.01
250
0.5376
143.3410
0.0069
41.01
500
0.6409
49.9268
0.0004
62.01
750
0.7344
43.4455
0.0001
83.0
1000
0.7523
42.1075
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
