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w2v-bert-2.0-ko-colab-CV17.0
tnalsdh21/w2v-bert-2.0-ko-colab-CV17.0
w2v-bert-2.0-ko-colab-CV17.0 is a machine learning model from tnalsdh21. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024
- SHA
- d7435026
Base models
Datasets
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. -->
w2v-bert-2.0-ko-colab-CV17.0
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5828
- Cer: 0.1706
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.1.2.post304
- Datasets 3.0.1
- Tokenizers 0.19.1
- Type
- wav2vec2-bert
- License
- mit
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024