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wav2vec2_tiny_ja_roman – AI Model by trtd56 | AlphaNeural AI

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trtd56/
wav2vec2_tiny_ja_roman

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automatic-speech-recognition

generated_from_trainer

charsiu/zh_w2v2_tiny_fc_10ms

endpoints_compatible

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wav2vec2_tiny_ja_roman

This model is a fine-tuned version of charsiu/zh_w2v2_tiny_fc_10ms on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0716
eval_wer: 0.5521
eval_runtime: 26.495
eval_samples_per_second: 9.436
eval_steps_per_second: 1.208
epoch: 30.0
step: 4455

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 742
num_epochs: 50

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1