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tensorGo – AI Model by arpii21 | AlphaNeural AI
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arpii21
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tensorGo
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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tensorGo
This model is a fine-tuned version of
openai/whisper-tiny
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5435
Wer: 64.0481
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6011
0.61
250
0.7049
74.3842
0.4136
1.22
500
0.5886
67.4765
0.3891
1.83
750
0.5527
65.0089
0.3237
2.44
1000
0.5435
64.0481
Framework versions
Transformers 4.38.2
Pytorch 2.0.0
Datasets 2.18.0
Tokenizers 0.15.2
