---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: petals-team/falcon-rw-1b
model-index:
- name: falcon-rw-1b-code-generation-llm-task2
  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-rw-1b-code-generation-llm-task2

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: 1.0581

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3318        | 0.1   | 20   | 1.3407          |
| 1.2643        | 0.2   | 40   | 1.1844          |
| 1.1681        | 0.3   | 60   | 1.1522          |
| 1.0891        | 0.4   | 80   | 1.1209          |
| 1.2164        | 0.5   | 100  | 1.1265          |
| 1.0855        | 0.6   | 120  | 1.1010          |
| 1.1129        | 0.7   | 140  | 1.0897          |
| 1.1169        | 0.8   | 160  | 1.0799          |
| 1.0664        | 0.9   | 180  | 1.0706          |
| 1.1483        | 1.0   | 200  | 1.0756          |
| 0.9707        | 1.1   | 220  | 1.0625          |
| 1.0102        | 1.2   | 240  | 1.0624          |
| 1.0805        | 1.3   | 260  | 1.0615          |
| 0.969         | 1.4   | 280  | 1.0580          |
| 1.118         | 1.5   | 300  | 1.0582          |
| 0.9883        | 1.6   | 320  | 1.0581          |


### Framework versions

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