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# flan-t5-base-t5flan_finetune_reformat_in_given_manner

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: 0.0747
- Rouge1: 80.2225
- Rouge2: 78.7179
- Rougel: 80.1485
- Rougelsum: 80.0451
- Gen Len: 17.3494

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 122  | 0.1377          | 79.3925 | 77.5379 | 79.3692 | 79.2301   | 17.1285 |
| No log        | 2.0   | 244  | 0.1028          | 79.4291 | 77.762  | 79.3968 | 79.2743   | 17.1963 |
| No log        | 3.0   | 366  | 0.0876          | 79.6022 | 77.9314 | 79.5449 | 79.4189   | 17.2004 |
| No log        | 4.0   | 488  | 0.0808          | 79.9295 | 78.3351 | 79.8952 | 79.7778   | 17.2744 |
| 0.2046        | 5.0   | 610  | 0.0747          | 80.2225 | 78.7179 | 80.1485 | 80.0451   | 17.3494 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-t5flan_finetune_reformat_in_given_manner", "results": []}]}
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