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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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model-index: |
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- name: xlm-roberta-base-finetuned-ANAD-mlm-0.15-base-19OCT |
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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-ANAD-mlm-0.15-base-19OCT |
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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: 1.5208 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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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: 0.1 |
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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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| 2.0052 | 0.9999 | 1063 | 1.8141 | |
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| 1.9038 | 1.9999 | 2126 | 1.7297 | |
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| 1.8271 | 2.9998 | 3189 | 1.6728 | |
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| 1.7734 | 3.9998 | 4252 | 1.6329 | |
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| 1.728 | 4.9997 | 5315 | 1.6055 | |
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| 1.6905 | 5.9996 | 6378 | 1.5794 | |
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| 1.6624 | 6.9996 | 7441 | 1.5558 | |
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| 1.6257 | 7.9995 | 8504 | 1.5368 | |
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| 1.6127 | 8.9995 | 9567 | 1.5279 | |
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| 1.593 | 9.9994 | 10630 | 1.5208 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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