YuanZ77_-_gemma2b-b-awq

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gemma2b-b - AWQ

• Model creator: https://huggingface.co/YuanZ77/
• Original model: https://huggingface.co/YuanZ77/gemma2b-b/

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: gemma2b-b results: []

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gemma2b-b

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

• Loss: 1.0122

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• total_eval_batch_size: 8
• 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 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1