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eval_transliterated – AI Model by Priyanship | AlphaNeural AI
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eval_transliterated
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automatic-speech-recognition
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eval_transliterated
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.2188
eval_model_preparation_time: 0.0054
eval_cer: 0.3354
eval_wer: 0.4724
eval_runtime: 31.1696
eval_samples_per_second: 18.351
eval_steps_per_second: 1.155
step: 0
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: 0.0006
train_batch_size: 16
eval_batch_size: 16
seed: 300
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
Framework versions
Transformers 4.45.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.20.1
