---
license: apache-2.0
base_model: tiiuae/falcon-40b
tags:
- generated_from_trainer
datasets:
- spider
model-index:
- name: falcon_40b_qlora_sql_r64
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# falcon_40b_qlora_sql_r64

This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on the spider dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1260

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 43.7
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1845        | 0.23  | 100  | 0.2542          |
| 0.5572        | 0.46  | 200  | 0.2048          |
| 0.0779        | 0.69  | 300  | 0.1761          |
| 0.0581        | 0.91  | 400  | 0.1315          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3