---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: automation-flanT5-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. -->

# automation-flanT5-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: 0.3180

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.6737        | 1.0   | 100  | 4.2136          |
| 2.2672        | 2.0   | 200  | 1.2099          |
| 0.7158        | 3.0   | 300  | 0.5136          |
| 0.3763        | 4.0   | 400  | 0.4204          |
| 0.34          | 5.0   | 500  | 0.3903          |
| 0.444         | 6.0   | 600  | 0.3730          |
| 0.3021        | 7.0   | 700  | 0.3643          |
| 0.2925        | 8.0   | 800  | 0.3539          |
| 0.2655        | 9.0   | 900  | 0.3486          |
| 0.2291        | 10.0  | 1000 | 0.3434          |
| 0.2638        | 11.0  | 1100 | 0.3420          |
| 0.3179        | 12.0  | 1200 | 0.3342          |
| 0.2649        | 13.0  | 1300 | 0.3322          |
| 0.2329        | 14.0  | 1400 | 0.3298          |
| 0.205         | 15.0  | 1500 | 0.3275          |
| 0.238         | 16.0  | 1600 | 0.3248          |
| 0.324         | 17.0  | 1700 | 0.3231          |
| 0.2491        | 18.0  | 1800 | 0.3214          |
| 0.2297        | 19.0  | 1900 | 0.3202          |
| 0.2335        | 20.0  | 2000 | 0.3185          |
| 0.1737        | 21.0  | 2100 | 0.3190          |
| 0.1962        | 22.0  | 2200 | 0.3180          |
| 0.2303        | 23.0  | 2300 | 0.3185          |
| 0.2434        | 24.0  | 2400 | 0.3180          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1