transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:AhmedTaha012/pargraphs_titlesV1.1 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: AhmedTaha012/pargraphs_titlesV1.1
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pargraphs_titlesV1.1
  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. -->

# pargraphs_titlesV1.1

This model is a fine-tuned version of [AhmedTaha012/pargraphs_titlesV1.1](https://huggingface.co/AhmedTaha012/pargraphs_titlesV1.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2229
- Rouge1: 84.2042
- Rouge2: 76.5359
- Rougel: 84.1153
- Rougelsum: 84.1486
- Gen Len: 175797120.0

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-----------:|
| 0.272         | 0.99  | 39   | 0.2272          | 84.1593 | 76.3536 | 84.0811 | 84.1075   | 175797120.0 |
| 0.2515        | 2.0   | 79   | 0.2257          | 83.9867 | 76.2626 | 83.9091 | 83.8999   | 175797120.0 |
| 0.2481        | 2.99  | 118  | 0.2242          | 84.0786 | 76.436  | 84.0015 | 84.0158   | 175797119.0 |
| 0.2364        | 4.0   | 158  | 0.2232          | 84.198  | 76.5543 | 84.1214 | 84.1279   | 175797119.0 |
| 0.2369        | 4.99  | 197  | 0.2229          | 84.2428 | 76.5359 | 84.1617 | 84.188    | 175797120.0 |
| 0.2317        | 5.92  | 234  | 0.2229          | 84.2042 | 76.5359 | 84.1153 | 84.1486   | 175797120.0 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
