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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: t5-base |
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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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model-index: |
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- name: T5_512tokens_advice |
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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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# T5_512tokens_advice |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1196 |
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- Accuracy: 0.8164 |
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- F1: 0.8166 |
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- Precision: 0.8169 |
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- Recall: 0.8164 |
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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: 4 |
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- eval_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 0.6496 | 1.0 | 1590 | 0.4740 | 0.8239 | 0.8210 | 0.8196 | 0.8239 | |
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| 0.4829 | 2.0 | 3180 | 0.5118 | 0.8283 | 0.8300 | 0.8323 | 0.8283 | |
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| 0.3773 | 3.0 | 4770 | 0.7478 | 0.8277 | 0.8249 | 0.8236 | 0.8277 | |
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| 0.0288 | 4.0 | 6360 | 0.9465 | 0.8126 | 0.8100 | 0.8084 | 0.8126 | |
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| 0.0219 | 5.0 | 7950 | 1.1196 | 0.8164 | 0.8166 | 0.8169 | 0.8164 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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