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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Lilt_xlmRoberta-finetuned |
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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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# Lilt_xlmRoberta-finetuned |
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This model is a fine-tuned version of [RobertoFont/lilt-xlm-roberta-base](https://huggingface.co/RobertoFont/lilt-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: 0.8585 |
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- Accuracy: 0.756 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 78 | 1.6469 | 0.524 | |
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| No log | 2.0 | 156 | 1.2372 | 0.644 | |
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| No log | 3.0 | 234 | 1.0487 | 0.686 | |
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| No log | 4.0 | 312 | 0.9515 | 0.723 | |
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| No log | 5.0 | 390 | 0.9319 | 0.735 | |
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| No log | 6.0 | 468 | 0.8965 | 0.742 | |
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| No log | 7.0 | 546 | 0.8809 | 0.754 | |
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| No log | 8.0 | 624 | 0.8597 | 0.756 | |
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| No log | 9.0 | 702 | 0.8673 | 0.758 | |
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| No log | 10.0 | 780 | 0.8585 | 0.756 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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