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Llama-3-8B-Instruct-SPPO-ot-lamda_0.1-Iter3 – AI Model by Jeennne | AlphaNeural AI
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Llama-3-8B-Instruct-SPPO-ot-lamda_0.1-Iter3
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llama
alignment-handbook
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synthetic_data_llama-3-8b-instruct-sppo-ot-lamda_0.1-iter3_score
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Llama-3-8B-Instruct-SPPO-ot-lamda_0.1-Iter3
This model is a fine-tuned version of
checkpoints/Llama-3-8B-Instruct-SPPO-ot-lamda_0.1-Iter2
on the synthetic_data_llama-3-8b-instruct-sppo-ot-lamda_0.1-iter3_score 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-07
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.14.6
Tokenizers 0.19.1
