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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: 0.9356 |
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- Rouge1: 0.015 |
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- Rouge2: 0.009 |
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- Rougel: 0.0149 |
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- Rougelsum: 0.0145 |
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- Gen Len: 1.0556 |
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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 | 4.3825 | 0.2703 | 0.148 | 0.232 | 0.2323 | 19.0 | |
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| No log | 2.0 | 54 | 1.2412 | 0.0869 | 0.0516 | 0.0771 | 0.0774 | 5.4537 | |
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| No log | 3.0 | 81 | 1.0927 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 4.0 | 108 | 1.0757 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 5.0 | 135 | 1.0583 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 6.0 | 162 | 1.0359 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 7.0 | 189 | 1.0157 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 8.0 | 216 | 0.9943 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 9.0 | 243 | 0.9762 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 10.0 | 270 | 0.9624 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 11.0 | 297 | 0.9525 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 12.0 | 324 | 0.9457 | 0.0095 | 0.0059 | 0.0094 | 0.0093 | 0.5278 | |
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| No log | 13.0 | 351 | 0.9406 | 0.012 | 0.0069 | 0.0119 | 0.0115 | 0.8796 | |
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| No log | 14.0 | 378 | 0.9371 | 0.015 | 0.009 | 0.0149 | 0.0145 | 1.0556 | |
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| No log | 15.0 | 405 | 0.9356 | 0.015 | 0.009 | 0.0149 | 0.0145 | 1.0556 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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