---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: dialogue-summarize
  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. -->

# dialogue-summarize

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: 52.0

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.31  | 10   | 52.6000         |
| No log        | 0.62  | 20   | 52.2000         |
| 49.02         | 0.94  | 30   | 52.1000         |
| 49.02         | 1.25  | 40   | 51.9500         |
| 48.76         | 1.56  | 50   | 52.0            |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2