---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-pos2neg
  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-pos2neg

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: 0.1630
- Rouge1: 66.0728
- Rouge2: 48.2651
- Rougel: 65.0881
- Rougelsum: 64.9953
- Gen Len: 14.0178

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 63   | 0.3641          | 6.8173  | 2.0998  | 6.622   | 6.5952    | 4.2956  |
| No log        | 2.0   | 126  | 0.2475          | 0.5115  | 0.4098  | 0.4238  | 0.4359    | 0.1267  |
| No log        | 3.0   | 189  | 0.1762          | 51.2946 | 37.2414 | 50.0953 | 49.9607   | 11.5711 |
| No log        | 4.0   | 252  | 0.1653          | 64.4676 | 46.8688 | 63.3822 | 63.338    | 13.6889 |
| No log        | 5.0   | 315  | 0.1630          | 66.0728 | 48.2651 | 65.0881 | 64.9953   | 14.0178 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1