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meta-llama-Meta-Llama-3.1-8B-Instruct-english-semantic-simliarity-top250 – AI Model by JiaweiGuo123 | AlphaNeural AI
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meta-llama-Meta-Llama-3.1-8B-Instruct-english-semantic-simliarity-top250
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
meta-llama/Llama-3.1-8B-Instruct
adapter
llama3.1
us
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meta-llama-Meta-Llama-3.1-8B-Instruct-english-semantic-simliarity-top250
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the generator 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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
