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gemma-2-9b-it-v2

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metadata
license: other
base_model: google/gemma-2-9b-it
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft
    results: []

sft

This model is a fine-tuned version of google/gemma-2-9b-it on the tax_qna_data_income_only dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0190

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-06
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • total_eval_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.2.0a0+81ea7a4
  • Datasets 2.21.0
  • Tokenizers 0.19.1