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--- |
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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: T5_small_sum |
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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_small_sum |
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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: 2.2513 |
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- Rouge1: 0.4054 |
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- Rouge2: 0.235 |
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- Rougel: 0.3672 |
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- Rougelsum: 0.3674 |
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- Gen Len: 17.9888 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- 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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| No log | 1.0 | 400 | 2.3801 | 0.3823 | 0.2151 | 0.3411 | 0.3409 | 18.2544 | |
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| 2.7768 | 2.0 | 800 | 2.2951 | 0.3984 | 0.2289 | 0.3602 | 0.3605 | 18.0169 | |
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| 2.5068 | 3.0 | 1200 | 2.2620 | 0.4033 | 0.2327 | 0.3652 | 0.3656 | 18.0069 | |
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| 2.4601 | 4.0 | 1600 | 2.2513 | 0.4054 | 0.235 | 0.3672 | 0.3674 | 17.9888 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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