llama-duo/gemma2b-summarize-gpt4o-128k

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gemma2b-summarize-gpt4o-128k

This model is a fine-tuned version of google/gemma-2b on the llama-duo/synthsummarizedataset_dedup dataset. It achieves the following results on the evaluation set:

• —Loss: 2.7978

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 3
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 48
• —totalevalbatch_size: 24
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.2
• —Tokenizers 0.19.1