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sparse_llama_7b_hf2_refined_web_50p_2024-05-12 – AI Model by thrunlab | AlphaNeural AI
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sparse_llama_7b_hf2_refined_web_50p_2024-05-12
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transformers
safetensors
sparse_llama
text-generation
generated_from_trainer
custom_code
meta-llama/Llama-2-7b-hf
finetune
llama2
autotrain_compatible
us
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sparse_llama_7b_hf2_refined_web_50p_2024-05-12
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: 2.3152
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
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
Training results
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.15.2
