---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: google-flan-t5-small-modified_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# google-flan-t5-small-modified_v2

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3020

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 3.7751          |
| 4.3074        | 2.0   | 500  | 2.1221          |
| 4.3074        | 3.0   | 750  | 1.7130          |
| 2.5366        | 4.0   | 1000 | 1.5271          |
| 2.5366        | 5.0   | 1250 | 1.4301          |
| 2.0483        | 6.0   | 1500 | 1.3643          |
| 2.0483        | 7.0   | 1750 | 1.3389          |
| 1.8774        | 8.0   | 2000 | 1.3123          |
| 1.8774        | 9.0   | 2250 | 1.3067          |
| 1.7724        | 10.0  | 2500 | 1.3020          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3