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T5Model_for_Ecommerce
SonFox2920/T5Model_for_Ecommerce
T5Model_for_Ecommerce is a machine learning model from SonFox2920. 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
- Apr 20, 2024
- Updated
- Apr 20, 2024
- SHA
- b2d36fef
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: 0.9356
- Rouge1: 0.015
- Rouge2: 0.009
- Rougel: 0.0149
- Rougelsum: 0.0145
- Gen Len: 1.0556
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 | 4.3825 | 0.2703 | 0.148 | 0.232 | 0.2323 | 19.0 |
| No log | 2.0 | 54 | 1.2412 | 0.0869 | 0.0516 | 0.0771 | 0.0774 | 5.4537 |
| No log | 3.0 | 81 | 1.0927 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 108 | 1.0757 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 135 | 1.0583 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 162 | 1.0359 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 7.0 | 189 | 1.0157 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 8.0 | 216 | 0.9943 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 9.0 | 243 | 0.9762 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 10.0 | 270 | 0.9624 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 11.0 | 297 | 0.9525 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 12.0 | 324 | 0.9457 | 0.0095 | 0.0059 | 0.0094 | 0.0093 | 0.5278 |
| No log | 13.0 | 351 | 0.9406 | 0.012 | 0.0069 | 0.0119 | 0.0115 | 0.8796 |
| No log | 14.0 | 378 | 0.9371 | 0.015 | 0.009 | 0.0149 | 0.0145 | 1.0556 |
| No log | 15.0 | 405 | 0.9356 | 0.015 | 0.009 | 0.0149 | 0.0145 | 1.0556 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024