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# cnn_news_summary_model_trained_on_reduced_data

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6625
- Rouge1: 0.2162
- Rouge2: 0.0943
- Rougel: 0.183
- Rougelsum: 0.183
- Generated Length: 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 288  | 1.6773          | 0.2168 | 0.0946 | 0.1835 | 0.1836    | 19.0             |
| 1.9303        | 2.0   | 576  | 1.6625          | 0.2162 | 0.0943 | 0.183  | 0.183     | 19.0             |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cnn_news_summary_model_trained_on_reduced_data", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "cnn_dailymail", "type": "cnn_dailymail", "config": "3.0.0", "split": "train[:2%]", "args": "3.0.0"}, "metrics": [{"type": "rouge", "value": 0.2162, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:cnn_dailymail base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us