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--- |
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license: apache-2.0 |
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base_model: Praveen76/FinetunedT5Model |
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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: T5Model_for_Ecommerce |
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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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# T5Model_for_Ecommerce |
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This model is a fine-tuned version of [Praveen76/FinetunedT5Model](https://huggingface.co/Praveen76/FinetunedT5Model) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9462 |
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- Rouge1: 0.0406 |
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- Rouge2: 0.0272 |
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- Rougel: 0.0345 |
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- Rougelsum: 0.0344 |
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- Gen Len: 1.9352 |
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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: 15 |
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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 | 27 | 4.2817 | 0.2641 | 0.1401 | 0.2239 | 0.2236 | 19.0 | |
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| No log | 2.0 | 54 | 1.2657 | 0.0685 | 0.0411 | 0.0583 | 0.0589 | 4.0463 | |
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| No log | 3.0 | 81 | 1.1014 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 4.0 | 108 | 1.0864 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 5.0 | 135 | 1.0668 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 6.0 | 162 | 1.0474 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 7.0 | 189 | 1.0204 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 8.0 | 216 | 1.0035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 9.0 | 243 | 0.9870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 10.0 | 270 | 0.9732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 11.0 | 297 | 0.9625 | 0.0098 | 0.0059 | 0.0094 | 0.0094 | 0.5278 | |
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| No log | 12.0 | 324 | 0.9563 | 0.0295 | 0.0194 | 0.0266 | 0.0264 | 1.4074 | |
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| No log | 13.0 | 351 | 0.9504 | 0.0325 | 0.0213 | 0.0291 | 0.029 | 1.5833 | |
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| No log | 14.0 | 378 | 0.9472 | 0.0406 | 0.0272 | 0.0345 | 0.0344 | 1.9352 | |
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| No log | 15.0 | 405 | 0.9462 | 0.0406 | 0.0272 | 0.0345 | 0.0344 | 1.9352 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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