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w2v-bert-2.0-Chinese-colab-CV16.0-aishell-vtb-ark
urarik/w2v-bert-2.0-Chinese-colab-CV16.0-aishell-vtb-ark
w2v-bert-2.0-Chinese-colab-CV16.0-aishell-vtb-ark is a automatic speech recognition model from urarik. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Feb 6, 2025
- Updated
- Feb 6, 2025
- SHA
- ff431cc8
Base models
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-Chinese-colab-CV16.0-aishell-vtb-ark
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6722
- Wer: 0.7398
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.3543 | 0.6024 | 153 | 0.9139 | 0.8117 |
| 0.7847 | 1.2047 | 306 | 0.7780 | 0.7863 |
| 0.6806 | 1.8071 | 459 | 0.7048 | 0.7508 |
| 0.6958 | 2.4094 | 612 | 0.6722 | 0.7398 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu121
- Datasets 2.17.1
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Created
- Feb 6, 2025
- Updated
- Feb 6, 2025