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--- |
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license: apache-2.0 |
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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: flan-t5-base-tigger |
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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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# flan-t5-base-tigger |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0135 |
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- Rouge1: 18.0026 |
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- Rouge2: 10.6544 |
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- Rougel: 17.8917 |
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- Rougelsum: 17.9016 |
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- Gen Len: 16.8967 |
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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: 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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 2.2643 | 1.0 | 1800 | 2.0944 | 18.9867 | 11.8419 | 18.9199 | 18.9118 | 15.0372 | |
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| 2.1069 | 2.0 | 3600 | 2.0400 | 17.7894 | 10.6008 | 17.6678 | 17.6848 | 16.3131 | |
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| 2.0446 | 3.0 | 5400 | 2.0172 | 18.4179 | 11.1483 | 18.2905 | 18.3525 | 16.8078 | |
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| 2.0053 | 4.0 | 7200 | 2.0135 | 18.0026 | 10.6544 | 17.8917 | 17.9016 | 16.8967 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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