---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-flan-semantic
  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. -->

# 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: 0.0553
- Rouge1: 0.8952
- Rouge2: 0.8673
- Rougel: 0.8952
- Rougelsum: 0.8952

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.0194        | 1.0   | 2    | 0.0082          | 0.9333 | 0.9158 | 0.9333 | 0.9333    |
| 0.0042        | 2.0   | 4    | 0.0408          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0002        | 3.0   | 6    | 0.0647          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0002        | 4.0   | 8    | 0.1117          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0007        | 5.0   | 10   | 0.1404          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0006        | 6.0   | 12   | 0.0987          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0005        | 7.0   | 14   | 0.0587          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0005        | 8.0   | 16   | 0.0251          | 0.9238 | 0.9031 | 0.9238 | 0.9238    |
| 0.0022        | 9.0   | 18   | 0.0128          | 0.9095 | 0.8852 | 0.9095 | 0.9095    |
| 0.0002        | 10.0  | 20   | 0.0228          | 0.8952 | 0.8622 | 0.8952 | 0.8952    |
| 0.0003        | 11.0  | 22   | 0.0351          | 0.8952 | 0.8622 | 0.8952 | 0.8952    |
| 0.0008        | 12.0  | 24   | 0.0374          | 0.9190 | 0.8980 | 0.9190 | 0.9190    |
| 0.0004        | 13.0  | 26   | 0.0462          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0           | 14.0  | 28   | 0.0610          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0001        | 15.0  | 30   | 0.0737          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0005        | 16.0  | 32   | 0.0839          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0002        | 17.0  | 34   | 0.0917          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0009        | 18.0  | 36   | 0.1001          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0005        | 19.0  | 38   | 0.1054          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0012        | 20.0  | 40   | 0.1079          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0           | 21.0  | 42   | 0.1085          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0           | 22.0  | 44   | 0.1015          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0018        | 23.0  | 46   | 0.0862          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0001        | 24.0  | 48   | 0.0752          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0004        | 25.0  | 50   | 0.0675          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0001        | 26.0  | 52   | 0.0623          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0           | 27.0  | 54   | 0.0589          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0005        | 28.0  | 56   | 0.0568          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0002        | 29.0  | 58   | 0.0557          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |
| 0.0002        | 30.0  | 60   | 0.0553          | 0.8952 | 0.8673 | 0.8952 | 0.8952    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2