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--- |
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license: apache-2.0 |
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base_model: salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3 |
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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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# OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3 |
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This model is a fine-tuned version of [salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE](https://huggingface.co./salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1685 |
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- Precision: 0.7509 |
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- Recall: 0.7962 |
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- F1: 0.7729 |
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- Accuracy: 0.9548 |
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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: 8 |
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- seed: 23 |
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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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1495 | 1.0 | 121 | 0.1123 | 0.7811 | 0.7573 | 0.7690 | 0.9567 | |
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| 0.0847 | 2.0 | 242 | 0.1201 | 0.7505 | 0.7972 | 0.7731 | 0.9540 | |
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| 0.0581 | 3.0 | 363 | 0.1314 | 0.7610 | 0.7853 | 0.7729 | 0.9560 | |
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| 0.0363 | 4.0 | 484 | 0.1529 | 0.7649 | 0.7798 | 0.7723 | 0.9551 | |
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| 0.0242 | 5.0 | 605 | 0.1685 | 0.7509 | 0.7962 | 0.7729 | 0.9548 | |
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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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