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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: 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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# 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: 8.1903 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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 | 84 | 8.4449 | |
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| No log | 2.0 | 168 | 8.2529 | |
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| No log | 3.0 | 252 | 8.0750 | |
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| No log | 4.0 | 336 | 8.1452 | |
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| No log | 5.0 | 420 | 8.1334 | |
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| 8.2835 | 6.0 | 504 | 8.1795 | |
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| 8.2835 | 7.0 | 588 | 8.3774 | |
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| 8.2835 | 8.0 | 672 | 8.2166 | |
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| 8.2835 | 9.0 | 756 | 8.1744 | |
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| 8.2835 | 10.0 | 840 | 8.1903 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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