---
license: other
base_model: models/Phi-3.5-mini-instruct-pro-4
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: function_calling_post_filtering_v4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# function_calling_post_filtering_v4

This model is a fine-tuned version of [models/Phi-3.5-mini-instruct-pro-4](https://huggingface.co/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