---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_text_sum_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. -->

# my_text_sum_model

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3750
- Rouge1: 0.3111
- Rouge2: 0.1149
- Rougel: 0.2256
- Rougelsum: 0.2256
- Gen Len: 65.5641

## 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: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8443        | 1.0   | 1280 | 1.8708          | 0.3152 | 0.1199 | 0.2279 | 0.2279    | 63.8984 |
| 1.244         | 2.0   | 2560 | 1.9406          | 0.3174 | 0.1199 | 0.2303 | 0.2305    | 63.8938 |
| 0.8394        | 3.0   | 3840 | 2.1484          | 0.3118 | 0.1167 | 0.2253 | 0.2254    | 65.0891 |
| 0.5744        | 4.0   | 5120 | 2.3750          | 0.3111 | 0.1149 | 0.2256 | 0.2256    | 65.5641 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3