---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
- name: falcon-7b-alpaca
  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-alpaca

This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9657

## 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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.3865        | 0.0631 | 50   | 1.4032          |
| 1.2768        | 0.1262 | 100  | 1.2262          |
| 1.021         | 0.1893 | 150  | 1.0728          |
| 1.0843        | 0.2524 | 200  | 1.0175          |
| 0.9927        | 0.3155 | 250  | 0.9966          |
| 0.9746        | 0.3785 | 300  | 0.9836          |
| 1.02          | 0.4416 | 350  | 0.9767          |
| 0.9806        | 0.5047 | 400  | 0.9722          |
| 1.0579        | 0.5678 | 450  | 0.9684          |
| 1.0075        | 0.6309 | 500  | 0.9670          |
| 0.9909        | 0.6940 | 550  | 0.9661          |
| 0.9792        | 0.7571 | 600  | 0.9661          |
| 0.9449        | 0.8202 | 650  | 0.9654          |
| 0.9268        | 0.8833 | 700  | 0.9656          |
| 1.0441        | 0.9464 | 750  | 0.9657          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1