---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-dialogsum-summarization
  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-dialogsum-summarization

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: 1.2095
- Rouge1: 39.3212
- Rouge2: 15.6335
- Rougel: 33.4773
- Rougelsum: 35.1795
- Gen Len: 18.872

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1318        | 1.0   | 1558 | 1.2331          | 39.1301 | 15.2555 | 33.1115 | 35.0288   | 18.868  |
| 1.0483        | 2.0   | 3116 | 1.2095          | 39.3212 | 15.6335 | 33.4773 | 35.1795   | 18.872  |
| 0.9969        | 3.0   | 4674 | 1.2104          | 40.0115 | 16.029  | 34.0364 | 35.8358   | 18.852  |
| 0.9601        | 4.0   | 6232 | 1.2161          | 39.7403 | 15.9708 | 33.8644 | 35.5952   | 18.868  |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1