systemk
/

preview002

Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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pt

This model is a fine-tuned version of google/gemma-2-2b-jpn-it on the shisa 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: 1e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use 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_ratio: 0.1
num_epochs: 0.1

Training results

Framework versions

Transformers 4.48.3
Pytorch 2.1.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0

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Safetensors

Model size

3.2B params

Tensor type

BF16

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Model tree for systemk/preview002

Base model

google/gemma-2-2b

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google/gemma-2-2b-it

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

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Evaluation results

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