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downstream_gemma – AI Model by terry69 | AlphaNeural AI

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terry69/
downstream_gemma

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alignment-handbook

generated_from_trainer

preference-data

google/gemma-7b

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downstream_gemma

This model is a fine-tuned version of google/gemma-7b on the preference-data 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: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1