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--- |
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base_model: xlm-roberta-base |
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library_name: peft |
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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-qlora-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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# xlm-roberta-qlora-finetuned |
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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: 3.2168 |
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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: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 3 | 3.1426 | |
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| No log | 2.0 | 6 | 3.1473 | |
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| No log | 3.0 | 9 | 3.1535 | |
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| No log | 4.0 | 12 | 3.1582 | |
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| No log | 5.0 | 15 | 3.1633 | |
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| No log | 6.0 | 18 | 3.1676 | |
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| No log | 7.0 | 21 | 3.1727 | |
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| No log | 8.0 | 24 | 3.1766 | |
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| No log | 9.0 | 27 | 3.1809 | |
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| No log | 10.0 | 30 | 3.1840 | |
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| No log | 11.0 | 33 | 3.1871 | |
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| No log | 12.0 | 36 | 3.1902 | |
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| No log | 13.0 | 39 | 3.1930 | |
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| No log | 14.0 | 42 | 3.1957 | |
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| No log | 15.0 | 45 | 3.1973 | |
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| No log | 16.0 | 48 | 3.1996 | |
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| No log | 17.0 | 51 | 3.2023 | |
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| No log | 18.0 | 54 | 3.2047 | |
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| No log | 19.0 | 57 | 3.2070 | |
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| No log | 20.0 | 60 | 3.2094 | |
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| No log | 21.0 | 63 | 3.2102 | |
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| No log | 22.0 | 66 | 3.2121 | |
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| No log | 23.0 | 69 | 3.2129 | |
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| No log | 24.0 | 72 | 3.2141 | |
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| No log | 25.0 | 75 | 3.2145 | |
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| No log | 26.0 | 78 | 3.2160 | |
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| No log | 27.0 | 81 | 3.2160 | |
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| No log | 28.0 | 84 | 3.2168 | |
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| No log | 29.0 | 87 | 3.2168 | |
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| No log | 30.0 | 90 | 3.2168 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
