---
base_model: reza-alipour/ft5
tags:
- generated_from_trainer
datasets:
- reza-alipour/Text-Edit-Instruct-Preprocessed-4m
metrics:
- rouge
model-index:
- name: ft5
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: reza-alipour/Text-Edit-Instruct-Preprocessed-4m
      type: reza-alipour/Text-Edit-Instruct-Preprocessed-4m
    metrics:
    - name: Rouge1
      type: rouge
      value: 86.5313
---

<!-- 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. -->

# ft5

This model is a fine-tuned version of [reza-alipour/ft5](https://huggingface.co/reza-alipour/ft5) on the reza-alipour/Text-Edit-Instruct-Preprocessed-4m dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3032
- Rouge1: 86.5313
- Rouge2: 75.3351
- Rougel: 85.9565
- Rougelsum: 85.9785
- Gen Len: 24.5688

## 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: 7e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1337
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.3601        | 1.0   | 31042 | 0.3032          | 86.5313 | 75.3351 | 85.9565 | 85.9785   | 24.5688 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0