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--- |
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license: mit |
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tags: |
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- text-classification |
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- generated_from_trainer |
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datasets: |
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- xnli |
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metrics: |
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- accuracy |
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model-index: |
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- name: xnli_xlm_r_only_ur |
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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: xnli |
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type: xnli |
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config: ur |
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split: train |
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args: ur |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6526104417670683 |
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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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# xnli_xlm_r_only_ur |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xnli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8165 |
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- Accuracy: 0.6526 |
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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: 1.5e-05 |
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- train_batch_size: 192 |
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- eval_batch_size: 192 |
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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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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10 |
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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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| 1.0253 | 1.0 | 2046 | 0.8330 | 0.6382 | |
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| 0.9659 | 2.0 | 4092 | 0.8105 | 0.6530 | |
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| 0.9445 | 3.0 | 6138 | 0.7978 | 0.6558 | |
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| 0.9254 | 4.0 | 8184 | 0.7791 | 0.6594 | |
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| 0.9075 | 5.0 | 10230 | 0.7792 | 0.6614 | |
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| 0.8892 | 6.0 | 12276 | 0.7812 | 0.6554 | |
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| 0.8728 | 7.0 | 14322 | 0.7762 | 0.6538 | |
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| 0.8565 | 8.0 | 16368 | 0.8019 | 0.6494 | |
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| 0.8427 | 9.0 | 18414 | 0.8067 | 0.6558 | |
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| 0.8332 | 10.0 | 20460 | 0.8165 | 0.6526 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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