---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small-qa-91
  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-small-qa-91

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0727

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1207        | 1.0   | 500   | 0.0685          |
| 0.1176        | 2.0   | 1000  | 0.0693          |
| 0.116         | 3.0   | 1500  | 0.0696          |
| 0.1152        | 4.0   | 2000  | 0.0709          |
| 0.1138        | 5.0   | 2500  | 0.0703          |
| 0.1134        | 6.0   | 3000  | 0.0717          |
| 0.1125        | 7.0   | 3500  | 0.0707          |
| 0.1119        | 8.0   | 4000  | 0.0710          |
| 0.1115        | 9.0   | 4500  | 0.0717          |
| 0.1113        | 10.0  | 5000  | 0.0713          |
| 0.111         | 11.0  | 5500  | 0.0721          |
| 0.1107        | 12.0  | 6000  | 0.0726          |
| 0.1106        | 13.0  | 6500  | 0.0721          |
| 0.111         | 14.0  | 7000  | 0.0720          |
| 0.1108        | 15.0  | 7500  | 0.0721          |
| 0.1106        | 16.0  | 8000  | 0.0722          |
| 0.1104        | 17.0  | 8500  | 0.0729          |
| 0.1102        | 18.0  | 9000  | 0.0727          |
| 0.1101        | 19.0  | 9500  | 0.0727          |
| 0.11          | 20.0  | 10000 | 0.0727          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3