---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
- name: falcon-7b-code-python
  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-7b-code-python

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: 1.1486

## 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: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3986        | 0.3183 | 30   | 1.4874          |
| 1.3762        | 0.6366 | 60   | 1.4038          |
| 1.2544        | 0.9549 | 90   | 1.3065          |
| 1.1233        | 1.2732 | 120  | 1.2405          |
| 1.1611        | 1.5915 | 150  | 1.1918          |
| 1.1243        | 1.9098 | 180  | 1.1603          |
| 1.0911        | 2.2281 | 210  | 1.1504          |
| 1.1027        | 2.5464 | 240  | 1.1489          |
| 1.1615        | 2.8647 | 270  | 1.1486          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1