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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: 2-finetuned-xlm-r-masakhaner-swa-whole-word-phonetic |
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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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# 2-finetuned-xlm-r-masakhaner-swa-whole-word-phonetic |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 38.6651 |
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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-08 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 61 | 39.9450 | |
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| No log | 2.0 | 122 | 39.5738 | |
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| No log | 3.0 | 183 | 40.0065 | |
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| No log | 4.0 | 244 | 39.2715 | |
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| No log | 5.0 | 305 | 38.7492 | |
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| No log | 6.0 | 366 | 38.8567 | |
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| No log | 7.0 | 427 | 38.7596 | |
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| No log | 8.0 | 488 | 38.6652 | |
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| 42.1342 | 9.0 | 549 | 38.6603 | |
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| 42.1342 | 10.0 | 610 | 38.6651 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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