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midm-7b-nsmc-understanding – AI Model by AeNyoung | AlphaNeural AI
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midm-7b-nsmc-understanding
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safetensors
generated_from_trainer
K-intelligence/midm-bitext-S-7B-inst-v1
finetune
cc-by-nc-4.0
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midm-7b-nsmc-understanding
This model is a fine-tuned version of
KT-AI/midm-bitext-S-7B-inst-v1
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: 300
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
