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Neuria_SQL_gemma-2-2b

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metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: NeurIA_SQL_gemma-2-2b
    results: []

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NeurIA_SQL_gemma-2-2b

This model is a fine-tuned version of google/gemma-2-2b-it on an unknown dataset.

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: 0.0001
  • train_batch_size: 10
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 10
  • total_train_batch_size: 100
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: polynomial
  • num_epochs: 20

Framework versions

  • PEFT 0.13.0
  • Transformers 4.44.1
  • Pytorch 2.4.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1