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gemma-2-2b-Sum-SFT – AI Model by martimfasantos | AlphaNeural AI

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martimfasantos/
gemma-2-2b-Sum-SFT

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martimfasantos/openai-summarize-tldr

google/gemma-2-2b

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gemma-2-2b-Sum-SFT

This model is a fine-tuned version of google/gemma-2-2b on the martimfasantos/openai-summarize-tldr 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: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1