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ZhangShenao_-_baseline-gemma-2-2b-it-sft-awq – AI Model by RichardErkhov | AlphaNeural AI
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baseline-gemma-2-2b-it-sft - AWQ
Model creator:
https://huggingface.co/ZhangShenao/
Original model:
https://huggingface.co/ZhangShenao/baseline-gemma-2-2b-it-sft/
Original model description:
library_name: transformers license: gemma base_model: google/gemma-2-2b-it tags:
trl
sft
generated_from_trainer datasets:
generator model-index:
name: baseline-gemma-2-2b-it-sft results: []
baseline-gemma-2-2b-it-sft
This model is a fine-tuned version of
google/gemma-2-2b-it
on the generator 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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
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
Transformers 4.45.2
Pytorch 2.1.2+cu121
Datasets 3.0.1
Tokenizers 0.20.0
