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tts_tmit_add_transformer – AI Model by tinybee | AlphaNeural AI

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tts_tmit_add_transformer

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tts_tmit_add_transformer

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1570
eval_wer: 0.1788
eval_runtime: 27.4036
eval_samples_per_second: 12.261
eval_steps_per_second: 1.533
epoch: 10.58
step: 7107

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: 3e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 13000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0