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_titlesV1.2
  results: []
---

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# pargraphs_titlesV1.2

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: 0.2078
- Rouge1: 85.6494
- Rouge2: 78.7423
- Rougel: 85.6468
- Rougelsum: 85.6405
- Gen Len: 55044224.0

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:----------:|
| 0.2417        | 0.98  | 50   | 0.2071          | 85.4314 | 78.3381 | 85.4768 | 85.5142   | 55044224.0 |
| 0.2245        | 1.99  | 101  | 0.2075          | 85.5919 | 78.5428 | 85.6216 | 85.6173   | 55044224.0 |
| 0.2182        | 2.99  | 152  | 0.2076          | 85.8144 | 78.9212 | 85.8405 | 85.8498   | 55044224.0 |
| 0.2122        | 4.0   | 203  | 0.2078          | 85.7866 | 78.9183 | 85.7687 | 85.7753   | 55044224.0 |
| 0.2078        | 5.0   | 254  | 0.2075          | 85.6336 | 78.7705 | 85.6598 | 85.6483   | 55044224.0 |
| 0.2027        | 5.91  | 300  | 0.2078          | 85.6494 | 78.7423 | 85.6468 | 85.6405   | 55044224.0 |


### Framework versions

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