---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceTB/SmolLM-360M-Instruct
datasets:
- generator
model-index:
- name: smolLM
  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. -->

# smolLM

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: 1.8124

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.3025        | 0.9524  | 10   | 2.1503          |
| 2.1107        | 2.0     | 21   | 2.0371          |
| 2.0147        | 2.9524  | 31   | 1.9717          |
| 1.9577        | 4.0     | 42   | 1.9244          |
| 1.9087        | 4.9524  | 52   | 1.8953          |
| 1.8825        | 6.0     | 63   | 1.8716          |
| 1.8667        | 6.9524  | 73   | 1.8558          |
| 1.8488        | 8.0     | 84   | 1.8429          |
| 1.8284        | 8.9524  | 94   | 1.8343          |
| 1.8201        | 10.0    | 105  | 1.8270          |
| 1.8129        | 10.9524 | 115  | 1.8219          |
| 1.8028        | 12.0    | 126  | 1.8179          |
| 1.7987        | 12.9524 | 136  | 1.8154          |
| 1.7938        | 14.0    | 147  | 1.8137          |
| 1.79          | 14.9524 | 157  | 1.8130          |
| 1.7903        | 16.0    | 168  | 1.8125          |
| 1.7884        | 16.9524 | 178  | 1.8125          |
| 1.7892        | 18.0    | 189  | 1.8124          |
| 1.7825        | 18.9524 | 199  | 1.8124          |
| 1.7906        | 19.0476 | 200  | 1.8124          |


### Framework versions

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