thrunlab_-_sparse_llama_7b_hf2_refined_web_50p_2024-03-27-8bits

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sparse_llama_7b_hf2_refined_web_50p_2024-03-27 - bnb 8bits

• Model creator: https://huggingface.co/thrunlab/
• Original model: https://huggingface.co/thrunlab/sparse_llama_7b_hf2_refined_web_50p_2024-03-27/

Original model description:

base_model: meta-llama/Llama-2-7b-hf tags:

• generated_from_trainer model-index:
• name: sparse_llama_7b_hf2_refined_web_50p_2024-03-27 results: []

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sparse_llama_7b_hf2_refined_web_50p_2024-03-27

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0766

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: 0
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1100

Training results

Framework versions

• Transformers 4.40.0.dev0
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.2