---
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: 0.9105
- Rouge1: 0.0062
- Rouge2: 0.0053
- Rougel: 0.0062
- Rougelsum: 0.0062
- Gen Len: 0.3519

## 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   | 4.2167          | 0.2664 | 0.1402 | 0.2238 | 0.2239    | 19.0    |
| No log        | 2.0   | 54   | 1.1783          | 0.0312 | 0.0185 | 0.0286 | 0.0286    | 2.1111  |
| No log        | 3.0   | 81   | 1.0640          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 4.0   | 108  | 1.0479          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 5.0   | 135  | 1.0328          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 6.0   | 162  | 1.0108          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 7.0   | 189  | 0.9912          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 8.0   | 216  | 0.9709          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 9.0   | 243  | 0.9502          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 10.0  | 270  | 0.9366          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 11.0  | 297  | 0.9275          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 12.0  | 324  | 0.9206          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 13.0  | 351  | 0.9152          | 0.0062 | 0.0053 | 0.0062 | 0.0062    | 0.3519  |
| No log        | 14.0  | 378  | 0.9118          | 0.0062 | 0.0053 | 0.0062 | 0.0062    | 0.3519  |
| No log        | 15.0  | 405  | 0.9105          | 0.0062 | 0.0053 | 0.0062 | 0.0062    | 0.3519  |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1