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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-Adapter-en-ar-mlm-0.15-large-29OCT |
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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-Adapter-en-ar-mlm-0.15-large-29OCT |
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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: 2.2667 |
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- Model Preparation Time: 0.0044 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:| |
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| 3.9064 | 0.2498 | 1000 | 3.2366 | 0.0044 | |
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| 3.0641 | 0.4995 | 2000 | 2.7403 | 0.0044 | |
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| 2.8162 | 0.7493 | 3000 | 2.5485 | 0.0044 | |
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| 2.7054 | 0.9990 | 4000 | 2.4384 | 0.0044 | |
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| 2.6108 | 1.2488 | 5000 | 2.3627 | 0.0044 | |
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| 2.5357 | 1.4985 | 6000 | 2.3141 | 0.0044 | |
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| 2.5089 | 1.7483 | 7000 | 2.2847 | 0.0044 | |
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| 2.4931 | 1.9980 | 8000 | 2.2667 | 0.0044 | |
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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 3.0.2 |
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- Tokenizers 0.19.1 |
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