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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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datasets: |
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- swiss_judgment_prediction |
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metrics: |
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- accuracy |
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model-index: |
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- name: xlm-roberta-large-xnli-finetuned-mnli-SJP |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: swiss_judgment_prediction |
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type: swiss_judgment_prediction |
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args: all_languages |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7957142857142857 |
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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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# xlm-roberta-large-xnli-finetuned-mnli-SJP |
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This model is a fine-tuned version of [joeddav/xlm-roberta-large-xnli](https://huggingface.co/joeddav/xlm-roberta-large-xnli) on the swiss_judgment_prediction dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3456 |
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- Accuracy: 0.7957 |
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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: 2 |
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- eval_batch_size: 2 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 5 | 1.8460 | 0.7956 | |
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| No log | 2.0 | 10 | 1.3456 | 0.7957 | |
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| No log | 3.0 | 15 | 1.2799 | 0.7957 | |
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| No log | 4.0 | 20 | 1.2866 | 0.7957 | |
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| No log | 5.0 | 25 | 1.3162 | 0.7956 | |
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### Framework versions |
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- Transformers 4.20.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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