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--- |
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library_name: transformers |
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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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model-index: |
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- name: mtl-xlmr-base-viwiki-v3 |
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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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# mtl-xlmr-base-viwiki-v3 |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 0.6780 |
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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: 1e-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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8769 | 1.0 | 960 | 0.7713 | |
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| 0.5802 | 2.0 | 1920 | 0.6602 | |
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| 0.7036 | 3.0 | 2880 | 0.6153 | |
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| 0.4554 | 4.0 | 3840 | 0.6017 | |
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| 0.3767 | 5.0 | 4800 | 0.6026 | |
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| 0.3122 | 6.0 | 5760 | 0.6543 | |
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| 0.2951 | 7.0 | 6720 | 0.6342 | |
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| 0.2424 | 8.0 | 7680 | 0.6403 | |
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| 0.3225 | 9.0 | 8640 | 0.6522 | |
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| 0.2981 | 10.0 | 9600 | 0.6780 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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