thrunlab/sparse_llama_7b_refined_web_90p_2024-03-22

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sparsellama7brefinedweb90p2024-03-22

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

• —Loss: 2.9625

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 0
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —training_steps: 200

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.1.1+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0