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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: product_description_generator |
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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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# product_description_generator |
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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: 3.3303 |
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- Rouge1: 0.1597 |
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- Rouge2: 0.0 |
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- Rougel: 0.1349 |
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- Rougelsum: 0.1334 |
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- Gen Len: 18.7 |
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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: 10 |
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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 | 6 | 3.5039 | 0.185 | 0.0105 | 0.1573 | 0.1576 | 15.7 | |
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| No log | 2.0 | 12 | 3.4680 | 0.1915 | 0.0105 | 0.1747 | 0.174 | 16.9 | |
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| No log | 3.0 | 18 | 3.4331 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.4 | |
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| No log | 4.0 | 24 | 3.4049 | 0.1579 | 0.0105 | 0.1308 | 0.1282 | 17.8 | |
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| No log | 5.0 | 30 | 3.3817 | 0.1716 | 0.0091 | 0.1476 | 0.1434 | 18.5 | |
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| No log | 6.0 | 36 | 3.3638 | 0.1323 | 0.0 | 0.1176 | 0.116 | 17.1 | |
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| No log | 7.0 | 42 | 3.3497 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 | |
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| No log | 8.0 | 48 | 3.3394 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 | |
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| No log | 9.0 | 54 | 3.3332 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 | |
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| No log | 10.0 | 60 | 3.3303 | 0.1597 | 0.0 | 0.1349 | 0.1334 | 18.7 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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