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--- |
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license: mit |
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base_model: 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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- f1 |
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model-index: |
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- name: xlm-roberta-base-Mixed-delete |
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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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# xlm-roberta-base-Mixed-delete |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 1.6994 |
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- Accuracy: 0.7852 |
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- F1: 0.7857 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.221 | 1.0 | 321 | 1.0439 | 0.7897 | 0.7970 | |
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| 0.1714 | 2.0 | 642 | 1.1443 | 0.7867 | 0.7795 | |
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| 0.1252 | 3.0 | 963 | 1.1800 | 0.8079 | 0.8089 | |
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| 0.1066 | 4.0 | 1284 | 1.3241 | 0.7973 | 0.7987 | |
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| 0.0817 | 5.0 | 1605 | 1.5002 | 0.7912 | 0.7937 | |
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| 0.0692 | 6.0 | 1926 | 1.4525 | 0.8033 | 0.8044 | |
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| 0.0529 | 7.0 | 2247 | 1.5662 | 0.7988 | 0.8000 | |
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| 0.0505 | 8.0 | 2568 | 1.6376 | 0.7958 | 0.7968 | |
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| 0.0341 | 9.0 | 2889 | 1.6486 | 0.7988 | 0.7989 | |
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| 0.0367 | 10.0 | 3210 | 1.6994 | 0.7852 | 0.7857 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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