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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

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: 0.8708
- Rouge2: 0.8636
- Rougel: 0.8708
- Rougelsum: 0.8708

## 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: 0.001
- train_batch_size: 24
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 1    | 1.1463          | 0.2430 | 0.1714 | 0.2430 | 0.2430    |
| No log        | 2.0   | 2    | 0.4544          | 0.7028 | 0.6432 | 0.7028 | 0.7028    |
| No log        | 3.0   | 3    | 0.1078          | 0.8708 | 0.8413 | 0.8708 | 0.8708    |
| No log        | 4.0   | 4    | 0.0477          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 5.0   | 5    | 0.0856          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 6.0   | 6    | 0.0128          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 7.0   | 7    | 0.0088          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 8.0   | 8    | 0.0082          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 9.0   | 9    | 0.0019          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 10.0  | 10   | 0.0008          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 11.0  | 11   | 0.0005          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 12.0  | 12   | 0.0003          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 13.0  | 13   | 0.0002          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 14.0  | 14   | 0.0001          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 15.0  | 15   | 0.0001          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 16.0  | 16   | 0.0001          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 17.0  | 17   | 0.0000          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 18.0  | 18   | 0.0001          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 19.0  | 19   | 0.0001          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |
| No log        | 20.0  | 20   | 0.0000          | 0.8708 | 0.8636 | 0.8708 | 0.8708    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
