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

This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8328

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1898        | 0.1   | 20   | 1.9930          |
| 2.0474        | 0.2   | 40   | 1.9372          |
| 1.8768        | 0.3   | 60   | 1.9180          |
| 2.0356        | 0.4   | 80   | 1.8915          |
| 1.946         | 0.5   | 100  | 1.9185          |
| 1.9219        | 0.6   | 120  | 1.8740          |
| 1.973         | 0.7   | 140  | 1.8762          |
| 1.8046        | 0.8   | 160  | 1.8549          |
| 1.8934        | 0.9   | 180  | 1.8451          |
| 1.8365        | 1.0   | 200  | 1.8525          |
| 1.7949        | 1.1   | 220  | 1.8343          |
| 1.703         | 1.2   | 240  | 1.8443          |
| 1.6269        | 1.3   | 260  | 1.8453          |
| 1.6731        | 1.4   | 280  | 1.8330          |
| 1.6004        | 1.5   | 300  | 1.8331          |
| 1.7031        | 1.6   | 320  | 1.8328          |


### Framework versions

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