---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large_question_answering_finetuining
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-large_question_answering_finetuining

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5861

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3031        | 1.0   | 79   | 0.5110          |
| 0.4051        | 2.0   | 158  | 0.4330          |
| 0.2949        | 3.0   | 237  | 0.4171          |
| 0.2191        | 4.0   | 316  | 0.4090          |
| 0.165         | 5.0   | 395  | 0.4273          |
| 0.1199        | 6.0   | 474  | 0.4527          |
| 0.0871        | 7.0   | 553  | 0.4851          |
| 0.064         | 8.0   | 632  | 0.5375          |
| 0.0497        | 9.0   | 711  | 0.5662          |
| 0.044         | 10.0  | 790  | 0.5861          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2