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--- |
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license: mit |
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base_model: facebook/w2v-bert-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: w2v2_bert_ru |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# w2v2_bert_ru |
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: inf |
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- Wer: 0.0538 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.711 | 0.73 | 300 | inf | 0.1267 | |
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| 0.1026 | 1.46 | 600 | inf | 0.0925 | |
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| 0.0748 | 2.18 | 900 | inf | 0.0732 | |
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| 0.0591 | 2.91 | 1200 | inf | 0.0710 | |
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| 0.0437 | 3.64 | 1500 | inf | 0.0675 | |
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| 0.0382 | 4.37 | 1800 | inf | 0.0675 | |
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| 0.0302 | 5.1 | 2100 | inf | 0.0620 | |
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| 0.0243 | 5.83 | 2400 | inf | 0.0590 | |
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| 0.0219 | 6.55 | 2700 | inf | 0.0584 | |
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| 0.0173 | 7.28 | 3000 | inf | 0.0577 | |
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| 0.015 | 8.01 | 3300 | inf | 0.0560 | |
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| 0.0115 | 8.74 | 3600 | inf | 0.0551 | |
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| 0.0099 | 9.47 | 3900 | inf | 0.0538 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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