---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
- name: Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic

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: 1.2069

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9825        | 0.24  | 500  | 1.5994          |
| 0.8528        | 0.47  | 1000 | 1.2043          |
| 0.4851        | 0.71  | 1500 | 1.1762          |
| 0.5511        | 0.94  | 2000 | 1.1914          |
| 0.4916        | 1.18  | 2500 | 1.2069          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2