---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
datasets:
- spider
model-index:
- name: falcon_qlora_sql_r2
  results: []
---

<!-- 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. -->

# falcon_qlora_sql_r2

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the spider dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1735

## 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: 0.0001
- 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
- lr_scheduler_warmup_steps: 43.7
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2993        | 0.23  | 100  | 0.2863          |
| 0.8003        | 0.46  | 200  | 0.3358          |
| 0.1872        | 0.68  | 300  | 0.2424          |
| 0.1267        | 0.91  | 400  | 0.2362          |
| 0.2214        | 1.14  | 500  | 0.2564          |
| 0.2885        | 1.37  | 600  | 0.2187          |
| 0.1654        | 1.6   | 700  | 0.1988          |
| 0.1633        | 1.83  | 800  | 0.2062          |
| 0.0381        | 2.05  | 900  | 0.1868          |
| 0.0633        | 2.28  | 1000 | 0.1767          |
| 0.163         | 2.51  | 1100 | 0.1861          |
| 0.1718        | 2.74  | 1200 | 0.1875          |
| 0.1743        | 2.97  | 1300 | 0.1854          |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3