---
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: 0.4802

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 147  | 0.4424          |
| No log        | 2.0   | 294  | 0.4278          |
| No log        | 3.0   | 441  | 0.4246          |
| 0.493         | 4.0   | 588  | 0.4282          |
| 0.493         | 5.0   | 735  | 0.4263          |
| 0.493         | 6.0   | 882  | 0.4384          |
| 0.417         | 7.0   | 1029 | 0.4556          |
| 0.417         | 8.0   | 1176 | 0.4548          |
| 0.417         | 9.0   | 1323 | 0.4768          |
| 0.417         | 10.0  | 1470 | 0.4802          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1