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

# fine_tune

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3085

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7293        | 1.0   | 30   | 4.6146          |
| 3.3709        | 2.0   | 60   | 2.0158          |
| 1.382         | 3.0   | 90   | 0.7932          |
| 0.8337        | 4.0   | 120  | 0.5675          |
| 0.6557        | 5.0   | 150  | 0.4715          |
| 0.5561        | 6.0   | 180  | 0.4106          |
| 0.5042        | 7.0   | 210  | 0.3627          |
| 0.4905        | 8.0   | 240  | 0.3346          |
| 0.4602        | 9.0   | 270  | 0.3145          |
| 0.39          | 10.0  | 300  | 0.3085          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0