---
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- HuggingFaceH4/deita-6k-v0-sft
model-index:
- name: qwen-1.5-1.8b-sft-v0.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen-1.5-1.8b-sft-v0.0

This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on the HuggingFaceH4/deita-6k-v0-sft dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0886

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- 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: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0963        | 1.0   | 237  | 1.0788          |
| 0.9779        | 2.0   | 474  | 1.0728          |
| 0.8734        | 3.0   | 711  | 1.0886          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1