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whisper-tiny-hi2_test – AI Model by SamagraDataGov | AlphaNeural AI
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whisper-tiny-hi2_test
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-tiny-hi2_test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4940
Wer: 59.7206
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: 3.75e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 50
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6766
1.2698
40
0.6154
81.4733
0.3599
2.5397
80
0.5078
67.0110
0.2297
3.8095
120
0.4940
59.7206
0.153
5.0794
160
0.5193
62.0745
0.0885
6.3492
200
0.5557
60.5843
Framework versions
Transformers 4.41.1
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
