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sew-timit-upsample_stage2 – AI Model by nh0znoisung | AlphaNeural AI
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sew-timit-upsample_stage2
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transformers
safetensors
sew
generated_from_trainer
asapp/sew-tiny-100k-ft-ls100h
finetune
apache-2.0
endpoints_compatible
us
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sew-timit-upsample_stage2
This model is a fine-tuned version of
asapp/sew-tiny-100k-ft-ls100h
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.9479
eval_wer: 0.9668
eval_cer: 0.9441
eval_runtime: 79.9154
eval_samples_per_second: 17.393
eval_steps_per_second: 2.177
epoch: 37.1287
step: 7500
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.2.1
Datasets 3.6.0
Tokenizers 0.21.1
