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w2v-bert-2.0-dhivehi-cv
mashey/w2v-bert-2.0-dhivehi-cv
w2v-bert-2.0-dhivehi-cv is a machine learning model from mashey. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 18, 2026
- SHA
- dbec81db
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 Dv - alakxender
This model is a fine-tuned version of alakxender/w2v-bert-2.0-dhivehi-cv on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3580
- Wer: 0.4591
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9272 | 3.8961 | 300 | 0.3712 | 0.5096 |
| 0.1846 | 7.7922 | 600 | 0.3580 | 0.4591 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- wav2vec2-bert
- Languages
- dv
- Created
- May 18, 2026
- Updated
- May 18, 2026