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# flan-t5-base-samsum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3909
- Rouge1: 46.4923
- Rouge2: 22.91
- Rougel: 39.07
- Rougelsum: 42.9091
- Gen Len: 17.2711

## 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: 5e-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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 1.4189        | 1.0   | 1842 | 1.3909          | 46.4923 | 22.91  | 39.07  | 42.9091   | 17.2711 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-samsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "test", "args": "samsum"}, "metrics": [{"type": "rouge", "value": 46.4923, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:samsum base_model:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us