| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: T5Model_for_Ecommerce |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # T5Model_for_Ecommerce |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0925 |
| - Rouge1: 0.0 |
| - Rouge2: 0.0 |
| - Rougel: 0.0 |
| - Rougelsum: 0.0 |
| - Gen Len: 0.0 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 1.0 | 27 | 4.2405 | 0.2073 | 0.0872 | 0.1748 | 0.1742 | 19.0 | |
| | No log | 2.0 | 54 | 1.6978 | 0.0364 | 0.0169 | 0.0301 | 0.0297 | 2.8148 | |
| | No log | 3.0 | 81 | 1.4167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 4.0 | 108 | 1.3413 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 5.0 | 135 | 1.2888 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 6.0 | 162 | 1.2486 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 7.0 | 189 | 1.2120 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 8.0 | 216 | 1.1818 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 9.0 | 243 | 1.1546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 10.0 | 270 | 1.1346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 11.0 | 297 | 1.1174 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 12.0 | 324 | 1.1063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 13.0 | 351 | 1.0991 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 14.0 | 378 | 1.0940 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 15.0 | 405 | 1.0925 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
|
|
