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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-laShootKP |
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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-laShootKP |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1739 |
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- Rouge1: 49.6859 |
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- Rouge2: 37.2276 |
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- Rougel: 49.5085 |
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- Rougelsum: 49.5531 |
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- Gen Len: 6.5138 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 8 |
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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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| 1.1796 | 1.0 | 6223 | 1.1739 | 49.6859 | 37.2276 | 49.5085 | 49.5531 | 6.5138 | |
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| 1.0232 | 2.0 | 12446 | 1.1820 | 49.7748 | 37.0118 | 49.5941 | 49.6469 | 6.8708 | |
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| 0.9315 | 3.0 | 18669 | 1.2301 | 48.0881 | 35.58 | 48.0004 | 48.0227 | 6.6295 | |
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| 0.8268 | 4.0 | 24892 | 1.2825 | 44.9333 | 32.8997 | 44.8001 | 44.8274 | 6.3620 | |
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| 0.8217 | 5.0 | 31115 | 1.3131 | 45.5074 | 32.864 | 45.3445 | 45.3414 | 6.3456 | |
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| 0.7738 | 6.0 | 37338 | 1.3544 | 44.6476 | 32.7547 | 44.4945 | 44.5461 | 6.5479 | |
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| 0.7336 | 7.0 | 43561 | 1.3442 | 45.3053 | 33.1408 | 45.155 | 45.1848 | 6.5295 | |
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| 0.7086 | 8.0 | 49784 | 1.3590 | 45.3277 | 33.0743 | 45.2083 | 45.2695 | 6.5869 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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