---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: flan-t5-base-text_answering_T5
  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-text_answering_T5

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: 0.3074
- Accuracy: 0.7464
- Precision: 0.7462
- Recall: 0.7464
- F1: 0.7462

## 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-06
- 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.3367        | 1.0   | 276  | 0.3063          | 0.6775   | 0.6812    | 0.6775 | 0.6732 |
| 0.3135        | 2.0   | 552  | 0.2994          | 0.6902   | 0.6952    | 0.6902 | 0.6856 |
| 0.2987        | 3.0   | 828  | 0.2941          | 0.7228   | 0.7227    | 0.7228 | 0.7224 |
| 0.2829        | 4.0   | 1104 | 0.2971          | 0.7391   | 0.739     | 0.7391 | 0.739  |
| 0.2853        | 5.0   | 1380 | 0.2997          | 0.7391   | 0.7391    | 0.7391 | 0.7391 |
| 0.2781        | 6.0   | 1656 | 0.3120          | 0.7373   | 0.7372    | 0.7373 | 0.737  |
| 0.2751        | 7.0   | 1932 | 0.3100          | 0.7464   | 0.7463    | 0.7464 | 0.7463 |
| 0.2735        | 8.0   | 2208 | 0.3073          | 0.7464   | 0.7463    | 0.7464 | 0.7463 |
| 0.2763        | 9.0   | 2484 | 0.3055          | 0.7446   | 0.7444    | 0.7446 | 0.7444 |
| 0.269         | 10.0  | 2760 | 0.3069          | 0.7446   | 0.7444    | 0.7446 | 0.7443 |
| 0.2674        | 11.0  | 3036 | 0.3077          | 0.7446   | 0.7444    | 0.7446 | 0.7443 |
| 0.2608        | 12.0  | 3312 | 0.3074          | 0.7464   | 0.7462    | 0.7464 | 0.7462 |


### Framework versions

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