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---
license: apache-2.0
base_model: Praveen76/FinetunedT5Model
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 [Praveen76/FinetunedT5Model](https://huggingface.co/Praveen76/FinetunedT5Model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3980
- Rouge1: 0.002
- Rouge2: 0.0002
- Rougel: 0.0019
- Rougelsum: 0.0019
- Gen Len: 18.6364
## 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: 32
- eval_batch_size: 32
- 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 | 4.9361 | 0.0004 | 0.0001 | 0.0004 | 0.0004 | 17.933 |
| No log | 2.0 | 54 | 3.9155 | 0.0006 | 0.0001 | 0.0006 | 0.0006 | 18.1435 |
| No log | 3.0 | 81 | 3.2005 | 0.0004 | 0.0001 | 0.0004 | 0.0004 | 17.1292 |
| No log | 4.0 | 108 | 2.6800 | 0.0005 | 0.0001 | 0.0005 | 0.0005 | 17.9474 |
| No log | 5.0 | 135 | 2.3165 | 0.0018 | 0.0001 | 0.0018 | 0.0018 | 18.1627 |
| No log | 6.0 | 162 | 2.0678 | 0.0021 | 0.0001 | 0.0021 | 0.0021 | 18.4354 |
| No log | 7.0 | 189 | 1.8971 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 18.7512 |
| No log | 8.0 | 216 | 1.7619 | 0.0017 | 0.0 | 0.0017 | 0.0017 | 18.8086 |
| No log | 9.0 | 243 | 1.6513 | 0.0015 | 0.0 | 0.0015 | 0.0015 | 18.7416 |
| No log | 10.0 | 270 | 1.5641 | 0.001 | 0.0 | 0.0011 | 0.001 | 18.8182 |
| No log | 11.0 | 297 | 1.4990 | 0.0011 | 0.0 | 0.0011 | 0.0011 | 18.7081 |
| No log | 12.0 | 324 | 1.4543 | 0.0018 | 0.0001 | 0.0017 | 0.0016 | 18.6507 |
| No log | 13.0 | 351 | 1.4226 | 0.0014 | 0.0 | 0.0015 | 0.0015 | 18.6316 |
| No log | 14.0 | 378 | 1.4043 | 0.0019 | 0.0002 | 0.0018 | 0.0018 | 18.6411 |
| No log | 15.0 | 405 | 1.3980 | 0.002 | 0.0002 | 0.0019 | 0.0019 | 18.6364 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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