You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Configuration Parsing Warning: Invalid JSON for config file config.json
Configuration Parsing Warning: Invalid JSON for config file tokenizer_config.json

CMC-Qwen3-8b-fc-sft-labeled-by-gpt4.1-mini-flex-ver2

This model is a fine-tuned version of Qwen/Qwen3-8B on the function_calling_train_augmented, the function_calling_train and the function_calling_train_additional 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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 64
  • total_eval_batch_size: 16
  • optimizer: Use adamw_torch_fused 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: 0.1
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.9.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.1
Downloads last month
-
Safetensors
Model size
8B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for CATI-AI/CMC-Qwen3-8b-fc-sft

Base model

Qwen/Qwen3-8B-Base
Finetuned
Qwen/Qwen3-8B
Finetuned
(1035)
this model

Collection including CATI-AI/CMC-Qwen3-8b-fc-sft