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batch_size_8_50_epochs – AI Model by monideep2255 | AlphaNeural AI

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monideep2255/
batch_size_8_50_epochs

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automatic-speech-recognition

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batch_size_8_50_epochs

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.8425
eval_runtime: 34.8453
eval_samples_per_second: 1.808
eval_steps_per_second: 0.23
epoch: 46.67
step: 1400

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 50

Framework versions

Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2