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

# first_sentences_based_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: 2.2821
- Rouge1: 0.2693
- Rouge2: 0.1679
- Rougel: 0.2565
- Rougelsum: 0.2559
- 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  | 3.0079          | 0.1316 | 0.0477 | 0.1134 | 0.1133    | 19.0    |
| No log        | 2.0   | 212  | 2.6733          | 0.2296 | 0.1302 | 0.2121 | 0.2121    | 19.0    |
| No log        | 3.0   | 318  | 2.5159          | 0.2535 | 0.1472 | 0.2367 | 0.2371    | 19.0    |
| No log        | 4.0   | 424  | 2.4352          | 0.2588 | 0.153  | 0.244  | 0.2438    | 19.0    |
| 3.0707        | 5.0   | 530  | 2.3773          | 0.2654 | 0.1624 | 0.2515 | 0.2515    | 19.0    |
| 3.0707        | 6.0   | 636  | 2.3391          | 0.2624 | 0.1607 | 0.2499 | 0.2495    | 19.0    |
| 3.0707        | 7.0   | 742  | 2.3124          | 0.2672 | 0.1662 | 0.2542 | 0.2538    | 19.0    |
| 3.0707        | 8.0   | 848  | 2.2952          | 0.2688 | 0.1677 | 0.2557 | 0.255     | 19.0    |
| 3.0707        | 9.0   | 954  | 2.2854          | 0.2692 | 0.1689 | 0.2567 | 0.2562    | 19.0    |
| 2.5484        | 10.0  | 1060 | 2.2821          | 0.2693 | 0.1679 | 0.2565 | 0.2559    | 19.0    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1