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gemma-2-2b-it-lora-jap-en – AI Model by google-cloud-partnership | AlphaNeural AI
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google-cloud-partnership
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gemma-2-2b-it-lora-jap-en
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peft
safetensors
gemma2
trl
sft
generated_from_trainer
generator
google/gemma-2-2b-it
adapter
gemma
us
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gemma-2-2b-it-lora-jap-en
This model is a fine-tuned version of
google/gemma-2-2b-it
on the Jofthomas/japanese-english-translation 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
