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--- |
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library_name: transformers |
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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: w2v-bert-cv-grain-lg_both |
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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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# w2v-bert-cv-grain-lg_both |
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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: 16.2243 |
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- Wer: 1.0 |
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- Cer: 1.0 |
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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: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 0.4609 | 1.0 | 5406 | 0.1400 | 0.1423 | 0.0296 | |
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| 0.2829 | 2.0 | 10812 | 0.1133 | 0.0968 | 0.0213 | |
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| 0.2369 | 3.0 | 16218 | 0.1033 | 0.0883 | 0.0193 | |
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| 0.2106 | 4.0 | 21624 | 0.0848 | 0.0681 | 0.0162 | |
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| 0.197 | 5.0 | 27030 | 0.0871 | 0.0681 | 0.0159 | |
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| 0.2459 | 6.0 | 32436 | 0.1335 | 0.1022 | 0.0203 | |
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| 0.3563 | 7.0 | 37842 | 0.1809 | 0.1254 | 0.0267 | |
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| 0.6033 | 8.0 | 43248 | 0.5575 | 0.7032 | 0.1768 | |
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| 4.656 | 9.0 | 48654 | 16.9063 | 0.9980 | 0.9837 | |
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| 10.5595 | 10.0 | 54060 | 12.4706 | 1.0 | 1.0 | |
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| 17.1148 | 11.0 | 59466 | 16.2280 | 1.0 | 1.0 | |
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| 17.4223 | 12.0 | 64872 | 16.2273 | 1.0 | 1.0 | |
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| 17.4172 | 13.0 | 70278 | 16.2222 | 1.0 | 1.0 | |
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| 17.4159 | 14.0 | 75684 | 16.2243 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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