qnguyen3/quan-1.8b-chat

Quan-1.8b

Qwen-1.8B finetuned on bilingual English-Vietnamese Data.

Prompt Template

ChatML, same as VinaLlama

<|im_start|>system
Bạn là một trợ lí AI hữu ích. Hãy trả lời người dùng một cách chính xác.
<|im_end|>
<|im_start|>user
Hello world!<|im_end|>
<|im_start|>assistant

This model is a fine-tuned version of KnutJaegersberg/Qwen-1_8B-Llamafied on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8096

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: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.8123	1.02	2356	0.8183
0.7358	2.02	4713	0.7790
0.6379	3.02	7071	0.7822
0.5762	3.94	9252	0.8096

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1