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

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: 1.0480

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0669        | 0.24  | 10   | 1.0635          |
| 1.0701        | 0.47  | 20   | 1.0547          |
| 1.0753        | 0.71  | 30   | 1.0493          |
| 1.0579        | 0.94  | 40   | 1.0480          |


### Framework versions

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