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w2v-bert-2.0-turkish-colab-CV6.1
ylacombe/w2v-bert-2.0-turkish-colab-CV6.1
w2v-bert-2.0-turkish-colab-CV6.1 is a machine learning model from ylacombe. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- 47dfe22e
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-turkish-colab-CV6.1
This model is a fine-tuned version of ylacombe/w2v-bert-2.0 on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1978
- Wer: 0.1838
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.4016 | 0.92 | 100 | 2.4338 | 1.0428 |
| 0.5644 | 1.83 | 200 | 0.2224 | 0.1936 |
| 0.1692 | 2.75 | 300 | 0.1978 | 0.1838 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- wav2vec2-bert
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024