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libri-alpha-0.5-Temp-1-att – AI Model by rohitp1 | AlphaNeural AI
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libri-alpha-0.5-Temp-1-att
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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libri-alpha-0.5-Temp-1-att
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 31.9525
eval_wer: 0.0993
eval_runtime: 165.9829
eval_samples_per_second: 16.285
eval_steps_per_second: 4.073
epoch: 13.45
step: 12000
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 40
mixed_precision_training: Native AMP
Framework versions
Transformers 4.23.1
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1
