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--- |
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base_model: ylacombe/w2v-bert-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_16_0 |
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model-index: |
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- name: w2v-bert-2.0-japanese-colab-CV16.0 |
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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-2.0-japanese-colab-CV16.0 |
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This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: inf |
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- Cer: 0.3171 |
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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: 1 |
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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: 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: 500 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 4.2694 | 0.96 | 300 | inf | 0.6823 | |
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| 2.0595 | 1.93 | 600 | inf | 0.4528 | |
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| 1.3044 | 2.89 | 900 | inf | 0.3920 | |
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| 1.0889 | 3.85 | 1200 | inf | 0.3579 | |
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| 0.7867 | 4.82 | 1500 | inf | 0.3518 | |
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| 0.4371 | 5.78 | 1800 | inf | 0.3371 | |
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| 0.3414 | 6.74 | 2100 | inf | 0.3246 | |
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| 0.2373 | 7.7 | 2400 | inf | 0.3253 | |
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| 0.1171 | 8.67 | 2700 | inf | 0.3183 | |
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| 0.0524 | 9.63 | 3000 | inf | 0.3171 | |
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### Framework versions |
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- Transformers 4.37.0.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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