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quan-1.8b-chat

Text Generation
Transformers
PyTorch
llama
Generated from Trainer
conversational
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quan-1.8b-chat / README.md
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metadata
license: other
base_model: KnutJaegersberg/Qwen-1_8B-Llamafied
tags:
  - generated_from_trainer
model-index:
  - name: qwen-1.8b-vi
    results: []

Built with Axolotl

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