---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-hai
  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. -->

# flan-t5-base-hai

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6881
- Rouge1: 39.7841
- Rouge2: 29.2031
- Rougel: 36.6883
- Rougelsum: 37.533
- Gen Len: 17.5106

## 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   | 118  | 0.9586          | 35.7723 | 22.9975 | 32.3447 | 33.2069   | 17.4894 |
| No log        | 2.0   | 236  | 0.8239          | 36.2962 | 24.2274 | 33.1222 | 33.8173   | 17.5447 |
| No log        | 3.0   | 354  | 0.7414          | 38.4245 | 27.3598 | 35.4793 | 36.3822   | 17.6596 |
| No log        | 4.0   | 472  | 0.6988          | 39.386  | 28.7308 | 36.4217 | 37.2752   | 17.5277 |
| 0.8817        | 5.0   | 590  | 0.6881          | 39.7841 | 29.2031 | 36.6883 | 37.533    | 17.5106 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3