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# t5-flan-semantic

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: 0.0000
- Rouge1: 1.0
- Rouge2: 1.0
- Rougel: 1.0
- Rougelsum: 1.0

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 1    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 2.0   | 2    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 3.0   | 3    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 4.0   | 4    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 5.0   | 5    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 6.0   | 6    | 0.0002          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 7.0   | 7    | 0.0283          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 8.0   | 8    | 0.0007          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 9.0   | 9    | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 10.0  | 10   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 11.0  | 11   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 12.0  | 12   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 13.0  | 13   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 14.0  | 14   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 15.0  | 15   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 16.0  | 16   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 17.0  | 17   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 18.0  | 18   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 19.0  | 19   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 20.0  | 20   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 21.0  | 21   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 22.0  | 22   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 23.0  | 23   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 24.0  | 24   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 25.0  | 25   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 26.0  | 26   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 27.0  | 27   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 28.0  | 28   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 29.0  | 29   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |
| No log        | 30.0  | 30   | 0.0000          | 1.0    | 1.0    | 1.0    | 1.0       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

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