---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: data/Tukan-1.1B-Chat-reasoning-sft_merged
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
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# Tukan-1.1B-Chat-reasoning-sft

This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0652

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1071        | 0.24  | 10   | 1.0860          |
| 1.0907        | 0.47  | 20   | 1.0738          |
| 1.0866        | 0.71  | 30   | 1.0668          |
| 1.0689        | 0.94  | 40   | 1.0651          |


### 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