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--- |
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license: apache-2.0 |
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base_model: vgaraujov/t5-base-spanish |
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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: augmented_t5_pictos |
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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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# augmented_t5_pictos |
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This model is a fine-tuned version of [vgaraujov/t5-base-spanish](https://huggingface.co/vgaraujov/t5-base-spanish) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2659 |
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- Rouge1: 45.6149 |
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- Rouge2: 30.0038 |
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- Rougel: 44.5481 |
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- Rougelsum: 44.5275 |
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- Gen Len: 7.7863 |
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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: 3e-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: 10 |
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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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| 2.4139 | 1.0 | 527 | 1.9162 | 36.3092 | 19.4412 | 35.3042 | 35.2912 | 6.6688 | |
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| 1.8071 | 2.0 | 1054 | 1.6680 | 42.3979 | 26.0796 | 41.4105 | 41.3967 | 7.0363 | |
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| 1.5205 | 3.0 | 1581 | 1.5088 | 43.033 | 27.2079 | 42.0521 | 42.0524 | 7.6261 | |
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| 1.3732 | 4.0 | 2108 | 1.4220 | 44.7554 | 28.8592 | 43.8614 | 43.8616 | 7.3504 | |
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| 1.2345 | 5.0 | 2635 | 1.3596 | 45.1026 | 29.8953 | 44.055 | 44.0191 | 7.5791 | |
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| 1.1474 | 6.0 | 3162 | 1.3102 | 44.9068 | 29.1063 | 43.7844 | 43.7561 | 7.7521 | |
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| 1.0654 | 7.0 | 3689 | 1.2925 | 45.5775 | 29.9282 | 44.5345 | 44.5368 | 7.6090 | |
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| 0.9925 | 8.0 | 4216 | 1.2732 | 45.3677 | 29.7696 | 44.3156 | 44.2848 | 7.7585 | |
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| 0.9616 | 9.0 | 4743 | 1.2663 | 45.6594 | 30.2393 | 44.6785 | 44.7119 | 7.8419 | |
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| 0.9296 | 10.0 | 5270 | 1.2659 | 45.6149 | 30.0038 | 44.5481 | 44.5275 | 7.7863 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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