---
license: cc-by-nc-4.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceTB/SmolLM-360M-Instruct
datasets:
- generator
model-index:
- name: SmolLM_360M_Instruct_qlora_nf4-plaba
  results: []
language:
- en
---

<!-- 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. -->

# SmolLM_360M_Instruct_qlora_nf4-plaba

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8521

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.8889 | 2    | 2.0708          |
| No log        | 1.7778 | 4    | 2.0152          |
| No log        | 2.6667 | 6    | 1.9361          |
| No log        | 4.0    | 9    | 1.8851          |
| 1.9803        | 4.8889 | 11   | 1.8728          |
| 1.9803        | 5.7778 | 13   | 1.8640          |
| 1.9803        | 6.6667 | 15   | 1.8571          |
| 1.9803        | 8.0    | 18   | 1.8525          |
| 1.8574        | 8.8889 | 20   | 1.8521          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1