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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-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: fine_tuned_t5_small_model_sec_5_v13 |
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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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# fine_tuned_t5_small_model_sec_5_v13 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9971 |
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- Rouge1: 0.4057 |
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- Rouge2: 0.155 |
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- Rougel: 0.2516 |
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- Rougelsum: 0.252 |
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- Gen Len: 95.1 |
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- Bert F1: 0.8758 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bert F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:-------:| |
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| 3.5508 | 1.0 | 95 | 3.1502 | 0.4016 | 0.1522 | 0.2479 | 0.2476 | 97.6526 | 0.874 | |
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| 3.1904 | 2.0 | 190 | 3.0374 | 0.4094 | 0.1578 | 0.2536 | 0.2536 | 97.6474 | 0.8757 | |
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| 3.138 | 3.0 | 285 | 3.0059 | 0.4034 | 0.1538 | 0.2486 | 0.2491 | 95.0211 | 0.8752 | |
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| 3.1061 | 4.0 | 380 | 2.9971 | 0.4057 | 0.155 | 0.2516 | 0.252 | 95.1 | 0.8758 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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