---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- gsm8k
model-index:
- name: flan-t5-xl-finetuned-gsm8k
  results: []

widget:
- "Please, answer the following question reasoning step-by-step:  If Manu eats twice a day, how many meals does he take for a week?"

---

<!-- 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-xl-finetuned-gsm8k

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the gsm8k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2853

## 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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2845        | 1.0   | 1868 | 0.2778          |
| 0.2204        | 2.0   | 3736 | 0.2718          |
| 0.1803        | 3.0   | 5604 | 0.2762          |
| 0.1578        | 4.0   | 7472 | 0.2853          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2