metadata

base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
library_name: peft
license: llama3
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: wenjie_6k
    results: []

wenjie_6k

This model is a fine-tuned version of shenzhi-wang/Llama3-8B-Chinese-Chat on the data_large2, the target_QA_short and the append_QA datasets. It achieves the following results on the evaluation set:

Loss: 0.9191

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: 8e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.9918	2.1448	200	0.9989

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1