generated_from_trainer dataset:spider base_model:tiiuae/falcon-7b license:apache-2.0 region:us
---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
datasets:
- spider
model-index:
- name: falcon-7b_spider
  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-7b_spider

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: 0.1837

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 87.5
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5561        | 0.11  | 100  | 0.3692          |
| 0.0           | 0.23  | 200  | 0.2534          |
| 0.0628        | 0.34  | 300  | 0.2348          |
| 0.6081        | 0.46  | 400  | 0.2310          |
| 0.0024        | 0.57  | 500  | 0.2218          |
| 0.0136        | 0.69  | 600  | 0.2256          |
| 0.1526        | 0.8   | 700  | 0.2140          |
| 0.1417        | 0.91  | 800  | 0.2158          |
| 0.2736        | 1.03  | 900  | 0.1880          |
| 0.2429        | 1.14  | 1000 | 0.1947          |
| 0.1635        | 1.26  | 1100 | 0.1861          |
| 0.2204        | 1.37  | 1200 | 0.1755          |
| 0.1207        | 1.49  | 1300 | 0.1952          |
| 0.1663        | 1.6   | 1400 | 0.1821          |
| 0.2023        | 1.71  | 1500 | 0.1901          |
| 0.0429        | 1.83  | 1600 | 0.1892          |
| 0.1651        | 1.94  | 1700 | 0.1847          |
| 0.0447        | 2.06  | 1800 | 0.1781          |
| 0.0184        | 2.17  | 1900 | 0.1808          |
| 0.0392        | 2.29  | 2000 | 0.2112          |
| 0.1474        | 2.4   | 2100 | 0.1800          |
| 0.1859        | 2.51  | 2200 | 0.1754          |
| 0.3717        | 2.63  | 2300 | 0.1736          |
| 0.2106        | 2.74  | 2400 | 0.1767          |
| 0.0798        | 2.86  | 2500 | 0.1700          |
| 0.2165        | 2.97  | 2600 | 0.1868          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
