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--- |
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library_name: transformers |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: roberta-base-multilingual-sentiment |
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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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# roberta-base-multilingual-sentiment |
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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: 0.4341 |
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- F1: 0.8169 |
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- Precision: 0.8176 |
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- Recall: 0.8163 |
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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: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 1024 |
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- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 5.0 |
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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 | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:---------:|:------:| |
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| 0.893 | 1.0 | 3074 | 0.4333 | 0.8038 | 0.8076 | 0.8022 | |
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| 0.8335 | 2.0 | 6148 | 0.4180 | 0.8150 | 0.8152 | 0.8149 | |
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| 0.7149 | 3.0 | 9222 | 0.4238 | 0.8162 | 0.8168 | 0.8158 | |
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| 0.7298 | 4.0 | 12296 | 0.4258 | 0.8168 | 0.8178 | 0.8160 | |
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| 0.6729 | 5.0 | 15370 | 0.4341 | 0.8169 | 0.8176 | 0.8163 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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