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

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: 4.0238

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7    | 26.5616         |
| 32.0769       | 2.0   | 14   | 18.4927         |
| 18.4675       | 3.0   | 21   | 10.0570         |
| 18.4675       | 4.0   | 28   | 4.8303          |
| 7.7849        | 5.0   | 35   | 4.5457          |
| 4.9112        | 6.0   | 42   | 4.3735          |
| 4.9112        | 7.0   | 49   | 4.2257          |
| 4.5517        | 8.0   | 56   | 4.1220          |
| 4.3929        | 9.0   | 63   | 4.0520          |
| 4.2833        | 10.0  | 70   | 4.0238          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0