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: dialogsum
  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. -->

# dialogsum

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: 1.0245
- Rouge1: 45.6581
- Rouge2: 15.9871
- Rougel: 43.5188
- Rougelsum: 43.913
- Gen Len: 19.0

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2634        | 1.0   | 786  | 1.1040          | 42.2483 | 13.4135 | 40.3622 | 40.5436   | 19.0    |
| 1.1931        | 2.0   | 1572 | 1.0637          | 41.6604 | 14.0866 | 39.7604 | 39.9971   | 19.0    |
| 1.1347        | 3.0   | 2358 | 1.0421          | 45.0247 | 14.5438 | 42.8164 | 43.1956   | 19.0    |
| 1.1155        | 4.0   | 3144 | 1.0312          | 45.6977 | 16.2231 | 43.5457 | 43.8965   | 19.0    |
| 1.0827        | 5.0   | 3930 | 1.0245          | 45.6581 | 15.9871 | 43.5188 | 43.913    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
