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Llama2-narration-10-15 – AI Model by TopperThijs | AlphaNeural AI
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TopperThijs
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Llama2-narration-10-15
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
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Llama2-narration-10-15
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1784
Model Preparation Time: 0.006
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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
Training results
Framework versions
PEFT 0.11.1
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.19.1
