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model-1 – AI Model by jwyao | AlphaNeural AI
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model-1
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NousResearch/Llama-2-7b-chat-hf
finetune
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results
This model is a fine-tuned version of
NousResearch/Llama-2-7b-chat-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1896
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.02
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
