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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: google-t5/t5-base |
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model-index: |
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- name: t5base-ILC |
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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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# t5base-ILC |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on [ILC dataset](https://huggingface.co/datasets/d0r1h/ILC). |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1984 |
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- Rouge1: 8.381 |
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- Rouge2: 3.916 |
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- Rougel: 7.0243 |
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- Rougelsum: 7.8617 |
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- Gen Len: 18.9833 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 1 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 10.5936 | 0.49 | 500 | 4.4985 | 7.204 | 2.8587 | 5.9813 | 6.774 | 18.9665 | |
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| 3.9459 | 0.97 | 1000 | 3.1984 | 8.381 | 3.916 | 7.0243 | 7.8617 | 18.9833 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
