
<!-- 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. -->

# flan-t5-base-model3-token1

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: 0.1761
- Rouge1: 74.8442
- Rouge2: 67.1345
- Rougel: 73.9377
- Rougelsum: 74.7805
- Gen Len: 16.0557

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 11.3452       | 0.7   | 200  | 0.4023          | 54.9094 | 45.9641 | 54.4888 | 54.7708   | 8.6307  |
| 0.3215        | 1.39  | 400  | 0.2252          | 72.8643 | 63.763  | 71.6779 | 72.5956   | 16.2108 |
| 0.2502        | 2.09  | 600  | 0.2052          | 73.7732 | 65.343  | 72.7147 | 73.7003   | 16.0035 |
| 0.2072        | 2.79  | 800  | 0.1977          | 73.7375 | 65.4023 | 72.5708 | 73.5249   | 16.0436 |
| 0.191         | 3.48  | 1000 | 0.1923          | 74.1851 | 65.5192 | 73.2189 | 74.0127   | 15.8502 |
| 0.1913        | 4.18  | 1200 | 0.1870          | 74.3015 | 66.4095 | 73.113  | 74.1052   | 16.0366 |
| 0.1672        | 4.88  | 1400 | 0.1814          | 74.5867 | 66.657  | 73.6986 | 74.4877   | 15.9652 |
| 0.1666        | 5.57  | 1600 | 0.1818          | 74.4879 | 66.4071 | 73.3689 | 74.3287   | 15.9739 |
| 0.1565        | 6.27  | 1800 | 0.1774          | 74.4269 | 66.8322 | 73.4838 | 74.3445   | 16.0906 |
| 0.1533        | 6.97  | 2000 | 0.1755          | 74.7965 | 66.8688 | 73.522  | 74.6461   | 15.9373 |
| 0.1447        | 7.67  | 2200 | 0.1764          | 74.4052 | 66.6402 | 73.3189 | 74.2453   | 15.9774 |
| 0.141         | 8.36  | 2400 | 0.1768          | 74.6052 | 66.5586 | 73.4595 | 74.3578   | 15.9338 |
| 0.1395        | 9.06  | 2600 | 0.1762          | 74.739  | 66.8901 | 73.6772 | 74.5243   | 16.0697 |
| 0.136         | 9.76  | 2800 | 0.1761          | 74.8442 | 67.1345 | 73.9377 | 74.7805   | 16.0557 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.14.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-model3-token1", "results": []}]}
transformers pytorch 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