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asr2 – AI Model by GodsonNtungi | AlphaNeural AI

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GodsonNtungi/
asr2

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automatic-speech-recognition

generated_from_trainer

GodsonNtungi/asr2

endpoints_compatible

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asr2

This model is a fine-tuned version of GodsonNtungi/asr2 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2567
eval_wer: 0.2528
eval_runtime: 6.694
eval_samples_per_second: 20.914
eval_steps_per_second: 2.689
epoch: 3.23
step: 700

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: 0.0003
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 100
training_steps: 1500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.0
Pytorch 2.0.1
Datasets 1.18.3
Tokenizers 0.14.1