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  1. README.md +67 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: Ariffiq99/e_care_xlm_roberta_base_finetuned
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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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+ model-index:
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+ - name: CRAB_e_care_xlm_roberta_base_finetuned
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+ results: []
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+ ---
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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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+
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+ # CRAB_e_care_xlm_roberta_base_finetuned
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+
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+ This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/e_care_xlm_roberta_base_finetuned) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9369
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+ - F1: 0.7347
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1.1954 | 1.0 | 2880 | 1.0072 | 0.6903 |
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+ | 1.0235 | 2.0 | 5760 | 1.0545 | 0.7194 |
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+ | 1.024 | 3.0 | 8640 | 1.0735 | 0.7014 |
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+ | 0.7573 | 4.0 | 11520 | 0.9582 | 0.7222 |
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+ | 1.0331 | 5.0 | 14400 | 0.8937 | 0.7375 |
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+ | 0.8141 | 6.0 | 17280 | 0.8675 | 0.7389 |
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+ | 0.7998 | 7.0 | 20160 | 0.9069 | 0.7306 |
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+ | 0.8059 | 8.0 | 23040 | 0.9369 | 0.7347 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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