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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: XMLRoberta_Dataset9kMeta |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ronton/huggingface/runs/nd99qd0g) |
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# XMLRoberta_Dataset9kMeta |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/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: 0.2475 |
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- Accuracy: 0.9498 |
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- F1: 0.9499 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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 | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.6461 | 200 | 0.2426 | 0.9319 | 0.9192 | |
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| 0.4716 | 3.2922 | 400 | 0.2306 | 0.9226 | 0.9152 | |
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| 0.1801 | 4.9383 | 600 | 0.2223 | 0.9464 | 0.9457 | |
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| 0.118 | 6.5844 | 800 | 0.2062 | 0.9498 | 0.9492 | |
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| 0.0819 | 8.2305 | 1000 | 0.2399 | 0.9498 | 0.9504 | |
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| 0.0819 | 9.8765 | 1200 | 0.2475 | 0.9498 | 0.9499 | |
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### Framework versions |
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- Transformers 4.43.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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