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llama-2-7b-nsmc – AI Model by chaem | AlphaNeural AI
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llama-2-7b-nsmc
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safetensors
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meta-llama/Llama-2-7b-chat-hf
finetune
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llama-2-7b-nsmc
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on an unknown dataset.
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 2000
mixed_precision_training: Native AMP
Training results
image/png
TrainOutput(global_step=2000, training_loss=0.5080581178665161, metrics={'train_runtime': 7559.6157, 'train_samples_per_second': 0.529,
'train_steps_per_second': 0.265, 'total_flos': 8.1436656795648e+16, 'train_loss': 0.5080581178665161, 'epoch': 2.0})
정확도
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
