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T5Model_for_Ecommerce
Rajpatel013/T5Model_for_Ecommerce
T5Model_for_Ecommerce is a machine learning model from Rajpatel013. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 13, 2024
- SHA
- d9d9844f
Base models
Model card
From the Hugging Face model README
<!-- 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 Praveen76/FinetunedT5Model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9149
- 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 | 4.1349 | 0.27 | 0.1438 | 0.2242 | 0.2247 | 19.0 |
| No log | 2.0 | 54 | 1.1710 | 0.0305 | 0.0174 | 0.0291 | 0.0289 | 2.1111 |
| No log | 3.0 | 81 | 1.0663 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 108 | 1.0495 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 135 | 1.0319 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 162 | 1.0120 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 7.0 | 189 | 0.9908 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 8.0 | 216 | 0.9737 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 9.0 | 243 | 0.9559 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 10.0 | 270 | 0.9416 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 11.0 | 297 | 0.9318 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 12.0 | 324 | 0.9246 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 13.0 | 351 | 0.9193 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 14.0 | 378 | 0.9160 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 15.0 | 405 | 0.9149 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 6, 2024
- Updated
- May 13, 2024