---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_ects_model
  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. -->

# my_awesome_ects_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2922
- Rouge1: 0.2697
- Rouge2: 0.1698
- Rougel: 0.2563
- Rougelsum: 0.2565
- Gen Len: 19.0

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 106  | 3.0113          | 0.1325 | 0.0481 | 0.1134 | 0.1132    | 19.0    |
| No log        | 2.0   | 212  | 2.6834          | 0.2312 | 0.1285 | 0.2126 | 0.2131    | 19.0    |
| No log        | 3.0   | 318  | 2.5284          | 0.2593 | 0.1507 | 0.2419 | 0.2415    | 19.0    |
| No log        | 4.0   | 424  | 2.4443          | 0.263  | 0.1583 | 0.2465 | 0.2466    | 19.0    |
| 3.0639        | 5.0   | 530  | 2.3860          | 0.2679 | 0.1643 | 0.2541 | 0.254     | 19.0    |
| 3.0639        | 6.0   | 636  | 2.3454          | 0.2677 | 0.1658 | 0.2535 | 0.2534    | 19.0    |
| 3.0639        | 7.0   | 742  | 2.3214          | 0.2656 | 0.1651 | 0.2526 | 0.2526    | 19.0    |
| 3.0639        | 8.0   | 848  | 2.3054          | 0.2693 | 0.1699 | 0.2562 | 0.2564    | 19.0    |
| 3.0639        | 9.0   | 954  | 2.2950          | 0.2721 | 0.1717 | 0.2579 | 0.258     | 19.0    |
| 2.5574        | 10.0  | 1060 | 2.2922          | 0.2697 | 0.1698 | 0.2563 | 0.2565    | 19.0    |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1