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llama-7b-medqa_version_3 – AI Model by SilasK | AlphaNeural AI
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SilasK
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llama-7b-medqa_version_3
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peft
tensorboard
safetensors
llama
trl
sft
generated_from_trainer
huggyllama/llama-7b
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llama-7b-medqa_version_3
This model is a fine-tuned version of
huggyllama/llama-7b
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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1e-11
Training results
Framework versions
PEFT 0.7.1
Transformers 4.37.0.dev0
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0
