---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-checkpoint-finetuned-pav1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-checkpoint-finetuned-pav1

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: 2.8461
- Rouge1: 8.8662
- Rouge2: 2.3482
- Rougel: 7.1437
- Rougelsum: 8.1986
- 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: 3e-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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.2493        | 1.0   | 1250 | 2.9730          | 8.6473 | 2.2038 | 6.9787 | 7.9995    | 19.0    |
| 3.1397        | 2.0   | 2500 | 2.9083          | 8.8119 | 2.332  | 7.0958 | 8.1469    | 19.0    |
| 3.0943        | 3.0   | 3750 | 2.8793          | 8.9522 | 2.4215 | 7.21   | 8.2723    | 19.0    |
| 3.0728        | 4.0   | 5000 | 2.8571          | 8.8992 | 2.3688 | 7.174  | 8.2298    | 19.0    |
| 3.0566        | 5.0   | 6250 | 2.8493          | 8.841  | 2.3368 | 7.1312 | 8.1745    | 19.0    |
| 3.0409        | 6.0   | 7500 | 2.8461          | 8.8662 | 2.3482 | 7.1437 | 8.1986    | 19.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2