---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-multi_news
  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-multi_news

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: 2.1226

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3803        | 1.0   | 5622  | 2.1816          |
| 2.2688        | 2.0   | 11244 | 2.1554          |
| 2.1995        | 3.0   | 16866 | 2.1341          |
| 2.1854        | 4.0   | 22488 | 2.1352          |
| 2.1352        | 5.0   | 28110 | 2.1297          |
| 2.1199        | 6.0   | 33732 | 2.1241          |
| 2.1218        | 7.0   | 39354 | 2.1218          |
| 2.1056        | 8.0   | 44976 | 2.1223          |
| 2.0928        | 9.0   | 50598 | 2.1228          |
| 2.0834        | 10.0  | 56220 | 2.1226          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2