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# t5-base-finetuned-scitldr_param2

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1205
- Rouge1: 23.543
- Rouge2: 10.3655
- Rougel: 19.6492
- Rougelsum: 20.8429
- Gen Len: 18.9822

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.98          | 1.0   | 996  | 3.1319          | 23.1445 | 10.0902 | 19.3585 | 20.4683   | 18.9758 |
| 1.9833        | 2.0   | 1992 | 3.1284          | 23.6157 | 10.3862 | 19.7155 | 20.8825   | 18.9822 |
| 1.9078        | 3.0   | 2988 | 3.1219          | 23.7444 | 10.5443 | 19.8405 | 21.0207   | 18.9774 |
| 1.907         | 4.0   | 3984 | 3.1199          | 23.6053 | 10.414  | 19.7221 | 20.9581   | 18.9822 |
| 1.8561        | 5.0   | 4980 | 3.1205          | 23.543  | 10.3655 | 19.6492 | 20.8429   | 18.9822 |


### Framework versions

- Transformers 4.35.2
- 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": "t5-base", "model-index": [{"name": "t5-base-finetuned-scitldr_param2", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us