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llama3.2-1b-instruct-hh-sft – AI Model by rngusry | AlphaNeural AI
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llama3.2-1b-instruct-hh-sft
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transformers
safetensors
llama
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
VMware/open-instruct-v1-oasst-dolly-hhrlhf
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama3.2-1b-instruct-hh-sft
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the VMware/open-instruct-v1-oasst-dolly-hhrlhf 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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Framework versions
Transformers 4.48.1
Pytorch 2.1.2+cu121
Datasets 3.2.0
Tokenizers 0.21.0
