---
license: apache-2.0
base_model: flax-community/t5-base-cnn-dm
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-cnn-dm-on-2000-news
  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. -->

# t5-base-cnn-dm-on-2000-news

This model is a fine-tuned version of [flax-community/t5-base-cnn-dm](https://huggingface.co/flax-community/t5-base-cnn-dm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6098
- Rouge1: 40.1108
- Rouge2: 35.0247
- Rougel: 39.2043
- Rougelsum: 39.4272
- 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 211  | 0.8550          | 33.8522 | 24.4634 | 31.5244 | 32.1795   | 19.0    |
| No log        | 2.0   | 422  | 0.6559          | 36.5992 | 28.76   | 34.8508 | 35.3186   | 19.0    |
| 0.9852        | 3.0   | 633  | 0.5826          | 38.1153 | 31.7278 | 36.8636 | 37.0955   | 19.0    |
| 0.9852        | 4.0   | 844  | 0.5637          | 38.3865 | 32.5346 | 37.1463 | 37.5175   | 19.0    |
| 0.3875        | 5.0   | 1055 | 0.5694          | 39.6094 | 33.9914 | 38.4403 | 38.6466   | 19.0    |
| 0.3875        | 6.0   | 1266 | 0.5727          | 39.7837 | 34.2137 | 38.6669 | 38.9124   | 19.0    |
| 0.3875        | 7.0   | 1477 | 0.5813          | 39.9572 | 34.6307 | 38.885  | 39.1153   | 19.0    |
| 0.207         | 8.0   | 1688 | 0.5934          | 39.867  | 34.7336 | 38.941  | 39.1977   | 19.0    |
| 0.207         | 9.0   | 1899 | 0.6053          | 40.0643 | 34.9731 | 39.1287 | 39.3602   | 19.0    |
| 0.138         | 10.0  | 2110 | 0.6098          | 40.1108 | 35.0247 | 39.2043 | 39.4272   | 19.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2