---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: dialogsum-flan-t5-small
  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-flan-t5-small

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an [dialogsum](https://huggingface.co/datasets/knkarthick/dialogsum) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0964

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3977        | 1.0   | 779  | 0.1042          |
| 0.1331        | 2.0   | 1558 | 0.1020          |
| 0.1245        | 3.0   | 2337 | 0.0981          |
| 0.1183        | 4.0   | 3116 | 0.0977          |
| 0.1134        | 5.0   | 3895 | 0.0980          |
| 0.1091        | 6.0   | 4674 | 0.0977          |
| 0.1052        | 7.0   | 5453 | 0.0966          |
| 0.1023        | 8.0   | 6232 | 0.0961          |
| 0.0998        | 9.0   | 7011 | 0.0965          |
| 0.098         | 10.0  | 7790 | 0.0964          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3