---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
model-index:
- name: Tukan-1.1B-Chat-reasoning-sft
  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. -->

# Tukan-1.1B-Chat-reasoning-sft

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0196

## 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: 5e-05
- train_batch_size: 6
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 20
- total_train_batch_size: 120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3366        | 0.24  | 10   | 1.2783          |
| 1.2563        | 0.47  | 20   | 1.2321          |
| 1.2289        | 0.71  | 30   | 1.2012          |
| 1.1837        | 0.94  | 40   | 1.1688          |
| 1.1534        | 1.18  | 50   | 1.1306          |
| 1.1254        | 1.42  | 60   | 1.1037          |
| 1.1011        | 1.65  | 70   | 1.0882          |
| 1.0825        | 1.89  | 80   | 1.0748          |
| 1.0876        | 2.12  | 90   | 1.0635          |
| 1.0716        | 2.36  | 100  | 1.0540          |
| 1.0517        | 2.59  | 110  | 1.0459          |
| 1.0289        | 2.83  | 120  | 1.0389          |
| 1.0564        | 3.07  | 130  | 1.0332          |
| 1.034         | 3.3   | 140  | 1.0288          |
| 1.0337        | 3.54  | 150  | 1.0253          |
| 1.033         | 3.77  | 160  | 1.0231          |
| 1.0312        | 4.01  | 170  | 1.0213          |
| 1.0207        | 4.25  | 180  | 1.0204          |
| 1.0271        | 4.48  | 190  | 1.0198          |
| 1.0351        | 4.72  | 200  | 1.0197          |
| 1.0339        | 4.95  | 210  | 1.0196          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.0a0+gitd925d94
- Datasets 2.14.6
- Tokenizers 0.15.0
## Training procedure


### Framework versions


- PEFT 0.6.1