bluryar / granite-3.1-2b-qa-function

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Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: January 11 2025
text-generation

Introduction of granite-3.1-2b-qa-function

Model Details of granite-3.1-2b-qa-function

model

This model is a fine-tuned version of /root/LLaMA-Factory/models/bluryar/granite-3.1-2b-qa on the bluryar_stage1_sample_sft and the bluryar_stage2_hqfx_function_calling_sft datasets. It achieves the following results on the evaluation set:

  • Loss: 0.6376
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: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 8
  • 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_steps: 150
  • num_epochs: 1.0
Training results
Training Loss Epoch Step Validation Loss
0.5866 0.6640 500 0.6460
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.3

Runs of bluryar granite-3.1-2b-qa-function on huggingface.co

8
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granite-3.1-2b-qa-function install

granite-3.1-2b-qa-function is an open source model from GitHub that offers a free installation service, and any user can find granite-3.1-2b-qa-function on GitHub to install. At the same time, huggingface.co provides the effect of granite-3.1-2b-qa-function install, users can directly use granite-3.1-2b-qa-function installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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