---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- code_search_net
base_model: petals-team/falcon-rw-1b
model-index:
- name: falcon-code-generation
  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-code-generation

This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on the code_search_net dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9946

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2494        | 0.01  | 20   | 1.2566          |
| 1.2362        | 0.02  | 40   | 1.1664          |
| 1.3029        | 0.03  | 60   | 1.1197          |
| 1.1248        | 0.04  | 80   | 1.0829          |
| 1.2031        | 0.04  | 100  | 1.0871          |
| 1.0559        | 0.05  | 120  | 1.0503          |
| 1.1049        | 0.06  | 140  | 1.0452          |
| 1.1459        | 0.07  | 160  | 1.0415          |
| 1.0521        | 0.08  | 180  | 1.0262          |
| 1.2023        | 0.09  | 200  | 1.0233          |
| 0.9935        | 0.1   | 220  | 1.0112          |
| 1.016         | 0.11  | 240  | 1.0035          |
| 1.1182        | 0.12  | 260  | 0.9993          |
| 1.0044        | 0.12  | 280  | 0.9957          |
| 1.0908        | 0.13  | 300  | 0.9949          |
| 0.9208        | 0.14  | 320  | 0.9946          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2