---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: FinetunedT5Model
  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. -->

# FinetunedT5Model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6604
- Rouge1: 0.2931
- Rouge2: 0.1635
- Rougel: 0.2526
- Rougelsum: 0.253
- Gen Len: 18.9262

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 38   | 2.0609          | 0.255  | 0.1343 | 0.2236 | 0.2245    | 18.7987 |
| No log        | 2.0   | 76   | 1.9133          | 0.2719 | 0.1447 | 0.2388 | 0.2388    | 18.9463 |
| No log        | 3.0   | 114  | 1.8280          | 0.2784 | 0.1548 | 0.2433 | 0.2437    | 18.9262 |
| No log        | 4.0   | 152  | 1.7742          | 0.2847 | 0.159  | 0.2481 | 0.2485    | 18.9262 |
| No log        | 5.0   | 190  | 1.7346          | 0.2866 | 0.1602 | 0.2488 | 0.2492    | 18.9262 |
| No log        | 6.0   | 228  | 1.7067          | 0.2888 | 0.162  | 0.25   | 0.2506    | 18.9262 |
| No log        | 7.0   | 266  | 1.6846          | 0.2861 | 0.1591 | 0.2482 | 0.2489    | 18.9262 |
| No log        | 8.0   | 304  | 1.6712          | 0.2922 | 0.1625 | 0.2528 | 0.2531    | 18.9262 |
| No log        | 9.0   | 342  | 1.6629          | 0.293  | 0.1635 | 0.2528 | 0.2532    | 18.9262 |
| No log        | 10.0  | 380  | 1.6604          | 0.2931 | 0.1635 | 0.2526 | 0.253     | 18.9262 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0