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asd_pron_w2v_reg_balanced_500_79
slplab/asd_pron_w2v_reg_balanced_500_79
asd_pron_w2v_reg_balanced_500_79 is a machine learning model from slplab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 11, 2023
- Updated
- Sep 14, 2023
- SHA
- de66ca06
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
asd_pron_w2v_reg_balanced_500_79
This model is a fine-tuned version of slplab/wav2vec2-xls-r-300m_phone-mfa_korean on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5655
- eval_mse: 0.5650
- eval_runtime: 99.5577
- eval_samples_per_second: 6.027
- eval_steps_per_second: 0.382
- epoch: 35.0
- step: 10780
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.13.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.4
- Tokenizers 0.10.3
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 11, 2023
- Updated
- Sep 14, 2023