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# flan-t5-base-veterinaryQA_data-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: 1.9591
- Rouge1: 36.0626
- Rouge2: 18.4139
- Rougel: 32.828
- Rougelsum: 32.8636
- Gen Len: 16.8267

## 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   | 483  | 2.2557          | 32.6699 | 15.7335 | 29.8    | 29.6992   | 17.54   |
| 2.6483        | 2.0   | 966  | 2.1049          | 35.2991 | 18.1944 | 32.1061 | 32.1271   | 16.6533 |
| 2.2953        | 3.0   | 1449 | 2.0232          | 36.4245 | 18.5726 | 32.9592 | 33.1281   | 16.9867 |
| 2.1014        | 4.0   | 1932 | 1.9708          | 36.14   | 18.3565 | 32.8218 | 32.9808   | 16.9333 |
| 2.0122        | 5.0   | 2415 | 1.9591          | 36.0626 | 18.4139 | 32.828  | 32.8636   | 16.8267 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-veterinaryQA_data-v2", "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