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# flan-t5-base-model2

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: 0.2236
- Rouge1: 73.2746
- Rouge2: 65.1173
- Rougel: 72.149
- Rougelsum: 73.1838
- Gen Len: 16.1625

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 11.4224       | 0.71  | 200  | 0.5002          | 49.2994 | 40.066  | 49.0355 | 49.3658   | 7.6113  |
| 0.4129        | 1.41  | 400  | 0.3030          | 72.7746 | 63.8666 | 71.4539 | 72.5604   | 16.2138 |
| 0.3131        | 2.12  | 600  | 0.2793          | 73.6239 | 64.6532 | 72.2694 | 73.5208   | 16.1148 |
| 0.2615        | 2.83  | 800  | 0.2674          | 73.2672 | 64.6251 | 72.0459 | 73.0736   | 16.2067 |
| 0.2347        | 3.53  | 1000 | 0.2631          | 73.0069 | 64.3272 | 71.8482 | 72.963    | 16.2049 |
| 0.2222        | 4.24  | 1200 | 0.2437          | 73.3821 | 64.9656 | 72.1995 | 73.2511   | 16.0795 |
| 0.2077        | 4.95  | 1400 | 0.2450          | 73.1663 | 64.7168 | 72.023  | 73.0977   | 16.0936 |
| 0.1976        | 5.65  | 1600 | 0.2296          | 73.2977 | 64.8011 | 72.2179 | 73.3089   | 16.1661 |
| 0.1804        | 6.36  | 1800 | 0.2268          | 73.1599 | 64.852  | 72.0518 | 73.1532   | 16.1802 |
| 0.1842        | 7.07  | 2000 | 0.2284          | 73.2343 | 64.944  | 72.046  | 73.1038   | 16.159  |
| 0.1776        | 7.77  | 2200 | 0.2255          | 73.3332 | 65.119  | 72.1684 | 73.2489   | 16.1449 |
| 0.1621        | 8.48  | 2400 | 0.2231          | 73.2057 | 64.9477 | 72.1727 | 73.1358   | 16.1219 |
| 0.1657        | 9.19  | 2600 | 0.2234          | 73.2285 | 65.0575 | 72.0227 | 73.2392   | 16.1608 |
| 0.1653        | 9.89  | 2800 | 0.2236          | 73.2746 | 65.1173 | 72.149  | 73.1838   | 16.1625 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-model2", "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