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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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model-index: |
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- name: xlmr-si-en-all_shuffled-2020-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-si-en-all_shuffled-2020-test1000 |
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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: 0.8030 |
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- R Squared: 0.0373 |
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- Mae: 0.7088 |
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- Pearson R: 0.5232 |
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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: 2020 |
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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: 3 |
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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 | 0.7537 | 0.0964 | 0.7613 | 0.3509 | |
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| 0.8088 | 2.0 | 876 | 0.6291 | 0.2458 | 0.6462 | 0.5263 | |
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| 0.6342 | 3.0 | 1314 | 0.8030 | 0.0373 | 0.7088 | 0.5232 | |
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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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