transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3771
- Rouge1: 47.3024
- Rouge2: 23.4912
- Rougel: 39.6794
- Rougelsum: 43.4399
- Gen Len: 17.2357

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4566        | 1.0   | 1842 | 1.3834          | 46.8634 | 22.884  | 39.1242 | 43.0264   | 17.4493 |
| 1.3394        | 2.0   | 3684 | 1.3741          | 47.2336 | 23.5909 | 39.8344 | 43.4891   | 17.1819 |
| 1.2786        | 3.0   | 5526 | 1.3692          | 47.1939 | 23.4592 | 39.8068 | 43.2328   | 17.1612 |
| 1.2274        | 4.0   | 7368 | 1.3776          | 47.634  | 24.0817 | 40.193  | 43.9771   | 17.4042 |
| 1.2028        | 5.0   | 9210 | 1.3771          | 47.3024 | 23.4912 | 39.6794 | 43.4399   | 17.2357 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.0
