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

# results

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: 2.2762

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.4645        | 0.3559 | 100  | 2.3210          |
| 2.4822        | 0.7117 | 200  | 2.3128          |
| 2.4995        | 1.0676 | 300  | 2.3071          |
| 2.6056        | 1.4235 | 400  | 2.3002          |
| 2.4679        | 1.7794 | 500  | 2.2958          |
| 2.5161        | 2.1352 | 600  | 2.2915          |
| 2.4266        | 2.4911 | 700  | 2.2890          |
| 2.5262        | 2.8470 | 800  | 2.2863          |
| 2.503         | 3.2028 | 900  | 2.2839          |
| 2.4655        | 3.5587 | 1000 | 2.2821          |
| 2.4776        | 3.9146 | 1100 | 2.2803          |
| 2.5122        | 4.2705 | 1200 | 2.2788          |
| 2.4529        | 4.6263 | 1300 | 2.2777          |
| 2.4557        | 4.9822 | 1400 | 2.2768          |
| 2.4035        | 5.3381 | 1500 | 2.2763          |
| 2.3816        | 5.6940 | 1600 | 2.2762          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 2.16.0
- Tokenizers 0.20.3