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llama-3-8b-base-sft-hh-harmless-8xh200 – AI Model by W-61 | AlphaNeural AI
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W-61
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llama-3-8b-base-sft-hh-harmless-8xh200
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transformers
safetensors
llama
text-generation
alignment-handbook
generated_from_trainer
conversational
Anthropic/hh-rlhf
meta-llama/Meta-Llama-3-8B
finetune
text-generation-inference
endpoints_compatible
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llama-3-8b-base-sft-hh-harmless-8xh200-20260410-140525
This model is a fine-tuned version of
/scratch/feng.yulu/dynamic-dpo-v4/base_models/Meta-Llama-3-8B
on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:
Loss: 1.5660
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 128
optimizer: Use OptimizerNames.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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.5418
0.9615
100
1.5660
Framework versions
Transformers 4.51.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.21.4
