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xlam_8B_glaive_toolcall_zhtw_1k_lr2e5_ep5 – AI Model by a3ilab-llm-uncertainty | AlphaNeural AI
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xlam_8B_glaive_toolcall_zhtw_1k_lr2e5_ep5
This model is a fine-tuned version of
Salesforce/Llama-xLAM-2-8b-fc-r
on the glaive_toolcall_zhtw_1k dataset.
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: 1
eval_batch_size: 8
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: 0.05
num_epochs: 5
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.4.1+cu121
Datasets 4.0.0
Tokenizers 0.22.1
