---
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