---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: new_t5_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. -->

# new_t5_model

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: 0.2620
- Rouge1: 0.5313
- Rouge2: 0.3804
- Rougel: 0.497
- Rougelsum: 0.497
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.5201        | 1.0   | 2185 | 0.4729          | 0.5255 | 0.3455 | 0.4848 | 0.4848    | 19.0    |
| 0.3613        | 2.0   | 4370 | 0.3678          | 0.5381 | 0.3879 | 0.5041 | 0.504     | 19.0    |
| 0.3221        | 3.0   | 6555 | 0.3111          | 0.5328 | 0.3843 | 0.4989 | 0.4989    | 19.0    |
| 0.3552        | 4.0   | 8740 | 0.2620          | 0.5313 | 0.3804 | 0.497  | 0.497     | 19.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1