kei0902
/

fine-tuned-gemma

Text Generation

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text-generation-inference

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fine-tuned-gemma

This model is a fine-tuned version of google/gemma-2-2b-jpn-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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Downloads last month: 5

Safetensors

Model size

2.61B params

Tensor type

F32

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Inference Examples

Text Generation

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Model tree for kei0902/fine-tuned-gemma

Base model

google/gemma-2-2b

Finetuned

google/gemma-2-2b-it

Finetuned

google/gemma-2-2b-jpn-it

Finetuned

(22)

this model

Evaluation results

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