xlam_8B_all_zhtw_lr1e-5_ep1_16_32

This model is a fine-tuned version of Salesforce/Llama-xLAM-2-8b-fc-r on the multi_turn_miss_func_zh_tw_function_mix_sharegpt, the multi_turn_miss_param_zh_tw_function_mix_sharegpt, the multi_turn_zh_tw_function_mix_sharegpt, the irrelevance_zh_tw_sharegpt3000 and the apigen_zhtwV3_remove_sys_sharegpt datasets. It achieves the following results on the evaluation set:

• Loss: 0.3068

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: 1e-05
• 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
0.3605	0.3238	1550	0.3308
0.3242	0.6476	3100	0.3107
0.3232	0.9714	4650	0.3068

Framework versions

• PEFT 0.17.0
• Transformers 4.57.1
• Pytorch 2.4.1+cu121
• Datasets 4.0.0
• Tokenizers 0.22.2