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T5Model_for_Ecommerce
tathagatdev/T5Model_for_Ecommerce
T5Model_for_Ecommerce is a machine learning model from tathagatdev. 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
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- c2ce7688
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 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 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023