xlam_8B_pythonic_zhtw_lr1e-5_ep1

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 and the multi_turn_zh_tw_function_mix_sharegpt datasets. It achieves the following results on the evaluation set:

• Loss: 0.8609

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
1.1577	0.3108	450	0.9477
0.7223	0.6217	900	0.8704
0.8008	0.9325	1350	0.8607

Framework versions

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