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

# t5-base-finetuned

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2147
- Rouge1: 93.8852
- Rouge2: 89.4695
- Rougel: 93.8695
- Rougelsum: 93.8688
- Gen Len: 14.2978
- Accuracy Log Reg: 0.6925

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len | Accuracy Log Reg |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:----------------:|
| 0.2085        | 1.0   | 2615  | 0.2495          | 93.3405 | 88.4778 | 93.3209 | 93.323    | 14.2937 | 0.6939           |
| 0.2606        | 2.0   | 5230  | 0.2265          | 93.6458 | 89.0108 | 93.6258 | 93.6262   | 14.2966 | 0.6932           |
| 0.2473        | 3.0   | 7845  | 0.2192          | 93.8068 | 89.3281 | 93.7908 | 93.7891   | 14.2952 | 0.6919           |
| 0.2314        | 4.0   | 10460 | 0.2161          | 93.858  | 89.4257 | 93.8453 | 93.8422   | 14.2968 | 0.6935           |
| 0.2308        | 5.0   | 13075 | 0.2147          | 93.8852 | 89.4695 | 93.8695 | 93.8688   | 14.2978 | 0.6925           |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1