llama3_1_8B_all_zhtw_turn_lr5e-7_ep1_16_64

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the multi_turn_miss_func_zh_tw_function_mix_sharegpt500_turn, the multi_turn_miss_param_zh_tw_function_mix_sharegpt500_turn, the multi_turn_zh_tw_function_mix_sharegpt500_turn, the irrelevance_zh_tw_sharegpt3000 and the apigen_zhtwV3_remove_sys_sharegpt datasets. It achieves the following results on the evaluation set:

• Loss: 0.7562

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-07
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.747	0.3317	2275	0.8316
0.9781	0.6633	4550	0.7650
0.6554	0.9950	6825	0.7562

Framework versions

• PEFT 0.17.0
• Transformers 4.55.2
• Pytorch 2.4.1+cu121
• Datasets 4.0.0
• Tokenizers 0.21.4