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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: google/flan-t5-base |
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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: results |
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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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# results |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5920 |
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- Rouge1: 14.7596 |
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- Rouge2: 4.3807 |
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- Rougel: 12.2006 |
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- Rougelsum: 12.2 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 2.5565 | 0.8163 | 1000 | 2.5957 | 14.9406 | 4.4429 | 12.4353 | 12.433 | |
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| 2.1876 | 1.6327 | 2000 | 2.5816 | 14.8245 | 4.3741 | 12.2496 | 12.2465 | |
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| 1.9943 | 2.4490 | 3000 | 2.5886 | 14.8735 | 4.3477 | 12.2451 | 12.2445 | |
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| 1.8837 | 3.2653 | 4000 | 2.5920 | 14.7596 | 4.3807 | 12.2006 | 12.2 | |
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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 2.16.0 |
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- Tokenizers 0.20.0 |
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