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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wmt20_mlqe_task1 |
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model-index: |
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- name: xlmr-ne-en-no_shuffled-orig-test1000 |
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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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# xlmr-ne-en-no_shuffled-orig-test1000 |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wmt20_mlqe_task1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5471 |
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- R Squared: 0.2194 |
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- Mae: 0.5682 |
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- Pearson R: 0.6846 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | R Squared | Mae | Pearson R | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---------:| |
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| No log | 1.0 | 438 | 0.5304 | 0.2432 | 0.5810 | 0.6277 | |
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| 0.7677 | 2.0 | 876 | 0.4347 | 0.3798 | 0.5171 | 0.6653 | |
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| 0.5573 | 3.0 | 1314 | 0.5234 | 0.2531 | 0.5506 | 0.6777 | |
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| 0.4018 | 4.0 | 1752 | 0.5984 | 0.1462 | 0.5975 | 0.6819 | |
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| 0.2964 | 5.0 | 2190 | 0.5471 | 0.2194 | 0.5682 | 0.6846 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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