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--- |
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license: apache-2.0 |
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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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- precision |
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- recall |
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base_model: salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample |
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model-index: |
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- name: ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2 |
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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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# ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2 |
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This model is a fine-tuned version of [salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample](https://huggingface.co./salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4543 |
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- Accuracy: 0.8852 |
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- F1: 0.8852 |
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- Precision: 0.8852 |
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- Recall: 0.8852 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.4264 | 1.0 | 265 | 0.3527 | 0.8611 | 0.8611 | 0.8611 | 0.8611 | |
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| 0.304 | 2.0 | 530 | 0.3400 | 0.8828 | 0.8828 | 0.8828 | 0.8828 | |
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| 0.2282 | 3.0 | 795 | 0.3840 | 0.8790 | 0.8790 | 0.8790 | 0.8790 | |
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| 0.1614 | 4.0 | 1060 | 0.4024 | 0.8856 | 0.8856 | 0.8856 | 0.8856 | |
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| 0.1075 | 5.0 | 1325 | 0.4543 | 0.8852 | 0.8852 | 0.8852 | 0.8852 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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