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Llama-2-7b-hf-finetune_2048 – AI Model by PK16514 | AlphaNeural AI
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Llama-2-7b-hf-finetune_2048
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lex_glue
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Llama-2-7b-hf-finetune_2048
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the lex_glue 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
Training results
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
