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--- |
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base_model: castorini/afriteva_v2_base |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: plain_tig |
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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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# plain_tig |
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This model is a fine-tuned version of [castorini/afriteva_v2_base](https://huggingface.co/castorini/afriteva_v2_base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3508 |
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- Accuracy: {'accuracy': 0.1460214446952596} |
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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: 0.0003 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:---------------------------------:| |
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| 4.8624 | 2.3810 | 100 | 2.5503 | {'accuracy': 0.11554740406320542} | |
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| 2.5725 | 4.7619 | 200 | 1.7106 | {'accuracy': 0.13755643340857787} | |
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| 1.936 | 7.1429 | 300 | 1.5616 | {'accuracy': 0.14094243792325056} | |
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| 1.804 | 9.5238 | 400 | 1.5510 | {'accuracy': 0.14122460496613995} | |
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| 1.755 | 11.9048 | 500 | 1.5 | {'accuracy': 0.14094243792325056} | |
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| 1.6713 | 14.2857 | 600 | 1.4747 | {'accuracy': 0.14051918735891647} | |
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| 1.624 | 16.6667 | 700 | 1.4347 | {'accuracy': 0.14193002257336343} | |
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| 1.5757 | 19.0476 | 800 | 1.4028 | {'accuracy': 0.14432844243792325} | |
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| 1.5407 | 21.4286 | 900 | 1.3813 | {'accuracy': 0.14475169300225735} | |
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| 1.5199 | 23.8095 | 1000 | 1.3686 | {'accuracy': 0.1451749435665914} | |
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| 1.4855 | 26.1905 | 1100 | 1.3569 | {'accuracy': 0.14531602708803612} | |
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| 1.4744 | 28.5714 | 1200 | 1.3508 | {'accuracy': 0.1460214446952596} | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.19.1 |
