function_calling_post_filtering_v4
This model is a fine-tuned version of models/Phi-3.5-mini-instruct-pro-4 on the function_calling_post_filtering_v4, the function_calling_post_filtering_v4, the function_calling_post_filtering_v4, the function_calling_post_filtering_v4, the function_calling_post_filtering_v4, the mmlu_pro_training and the WildChat_116k_functions datasets.
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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