---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: flan_t5_small_squadv2_lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan_t5_small_squadv2_lora

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3268

## 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: 0.001
- train_batch_size: 12
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5656        | 0.13  | 100  | 0.3493          |
| 0.5393        | 0.27  | 200  | 0.3458          |
| 0.5403        | 0.4   | 300  | 0.3352          |
| 0.5289        | 0.53  | 400  | 0.3476          |
| 0.5111        | 0.67  | 500  | 0.3273          |
| 0.5146        | 0.8   | 600  | 0.3280          |
| 0.4717        | 0.93  | 700  | 0.3268          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1