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

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

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the Multiple-choice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4853

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5355        | 1.0   | 340  | 0.5072          |
| 0.5175        | 2.0   | 681  | 0.4938          |
| 0.5039        | 3.0   | 1022 | 0.4916          |
| 0.4949        | 4.0   | 1363 | 0.4858          |
| 0.4886        | 4.99  | 1700 | 0.4853          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2