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Neuria_SQL_gemma-2-2b

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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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Framework versions

PEFT 0.13.0
Transformers 4.44.1
Pytorch 2.4.1
Datasets 2.19.1
Tokenizers 0.19.1

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Model tree for neuria99/Neuria_SQL_gemma-2-2b

Base model

google/gemma-2-2b

Finetuned

google/gemma-2-2b-it

Adapter

(154)

this model

Evaluation results

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