---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged
datasets:
- generator
model-index:
- name: SmolLM_1_7B_Instruct_qlora_nf4-plaba
  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_1_7B_Instruct_qlora_nf4-plaba

This model is a fine-tuned version of [dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged](https://huggingface.co/dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6099

## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.8   | 1    | 1.7411          |
| No log        | 1.6   | 2    | 1.7359          |
| No log        | 2.4   | 3    | 1.7081          |
| No log        | 4.0   | 5    | 1.6632          |
| No log        | 4.8   | 6    | 1.6608          |
| No log        | 5.6   | 7    | 1.6495          |
| No log        | 6.4   | 8    | 1.6376          |
| 1.6842        | 8.0   | 10   | 1.6228          |
| 1.6842        | 8.8   | 11   | 1.6187          |
| 1.6842        | 9.6   | 12   | 1.6161          |
| 1.6842        | 10.4  | 13   | 1.6142          |
| 1.6842        | 12.0  | 15   | 1.6116          |
| 1.6842        | 12.8  | 16   | 1.6108          |
| 1.6842        | 13.6  | 17   | 1.6103          |
| 1.6842        | 14.4  | 18   | 1.6100          |
| 1.6057        | 16.0  | 20   | 1.6099          |


### Framework versions

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