---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: petals-team/falcon-rw-1b
datasets:
- code_search_net
model-index:
- name: falcon-1b-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-1b-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: 0.9849

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2737        | 0.1   | 20   | 1.1782          |
| 1.2501        | 0.2   | 40   | 1.0921          |
| 1.1228        | 0.3   | 60   | 1.0788          |
| 1.0377        | 0.4   | 80   | 1.0385          |
| 1.11          | 0.5   | 100  | 1.0663          |
| 1.0493        | 0.6   | 120  | 1.0224          |
| 1.105         | 0.7   | 140  | 1.0216          |
| 1.1083        | 0.8   | 160  | 1.0098          |
| 0.9956        | 0.9   | 180  | 0.9959          |
| 1.1103        | 1.0   | 200  | 1.0078          |
| 0.961         | 1.1   | 220  | 0.9895          |
| 0.9062        | 1.2   | 240  | 0.9929          |
| 0.9685        | 1.3   | 260  | 0.9913          |
| 0.9164        | 1.4   | 280  | 0.9855          |
| 0.9653        | 1.5   | 300  | 0.9851          |
| 0.8943        | 1.6   | 320  | 0.9849          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1