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update model card README.md
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README.md
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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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