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: oop-de-qag-flan-t5-base-v2
  results: []
---

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# oop-de-qag-flan-t5-base-v2

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: 0.7799
- Rouge1: 65.8963
- Rouge2: 52.5334
- Rougel: 63.8234
- Rougelsum: 63.862
- Gen Len: 15.1027

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 291  | 0.9267          | 58.354  | 44.5703 | 56.3088 | 56.4247   | 14.9335 |
| 1.0671        | 2.0   | 582  | 0.8478          | 58.9803 | 46.058  | 57.5088 | 57.7033   | 14.2145 |
| 1.0671        | 3.0   | 873  | 0.8198          | 63.8733 | 51.2538 | 62.2852 | 62.3529   | 14.6979 |
| 0.7879        | 4.0   | 1164 | 0.7871          | 65.4153 | 51.7642 | 63.1634 | 63.2417   | 15.1450 |
| 0.7879        | 5.0   | 1455 | 0.7899          | 65.9948 | 52.9992 | 63.9656 | 64.0437   | 15.3988 |
| 0.6773        | 6.0   | 1746 | 0.7799          | 65.8963 | 52.5334 | 63.8234 | 63.862    | 15.1027 |
| 0.6008        | 7.0   | 2037 | 0.7881          | 65.8796 | 52.85   | 64.0634 | 64.1241   | 15.5347 |
| 0.6008        | 8.0   | 2328 | 0.7805          | 66.5459 | 53.6971 | 64.4793 | 64.5541   | 15.4199 |
| 0.5493        | 9.0   | 2619 | 0.7823          | 66.217  | 53.3816 | 64.4162 | 64.4861   | 15.5347 |
| 0.5493        | 10.0  | 2910 | 0.7848          | 65.8257 | 52.9735 | 63.8224 | 63.8886   | 15.4622 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
