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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlm-roberta-base-finetuned-osdg |
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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-finetuned-osdg |
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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: 0.6747 |
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- Acc: 0.8296 |
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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: 6e-07 |
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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 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.552 | 1.0 | 509 | 0.6801 | 0.8229 | |
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| 0.5261 | 2.0 | 1018 | 0.6821 | 0.8218 | |
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| 0.5518 | 3.0 | 1527 | 0.6770 | 0.8246 | |
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| 0.4856 | 4.0 | 2036 | 0.6781 | 0.8279 | |
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| 0.5427 | 5.0 | 2545 | 0.6748 | 0.8318 | |
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| 0.5049 | 6.0 | 3054 | 0.6769 | 0.8290 | |
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| 0.5155 | 7.0 | 3563 | 0.6756 | 0.8307 | |
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| 0.503 | 8.0 | 4072 | 0.6763 | 0.8296 | |
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| 0.5009 | 9.0 | 4581 | 0.6741 | 0.8301 | |
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| 0.555 | 10.0 | 5090 | 0.6747 | 0.8296 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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