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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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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: reberta |
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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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# reberta |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3429 |
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- Accuracy: 0.9408 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 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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| 0.2089 | 1.0 | 1250 | 0.1942 | 0.9408 | |
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| 0.1623 | 2.0 | 2500 | 0.1801 | 0.9428 | |
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| 0.1364 | 3.0 | 3750 | 0.1934 | 0.9466 | |
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| 0.1051 | 4.0 | 5000 | 0.2134 | 0.9456 | |
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| 0.0737 | 5.0 | 6250 | 0.2472 | 0.9446 | |
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| 0.062 | 6.0 | 7500 | 0.2751 | 0.944 | |
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| 0.0441 | 7.0 | 8750 | 0.2992 | 0.9422 | |
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| 0.0342 | 8.0 | 10000 | 0.3116 | 0.9432 | |
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| 0.026 | 9.0 | 11250 | 0.3360 | 0.943 | |
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| 0.0179 | 10.0 | 12500 | 0.3429 | 0.9408 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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