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qwen3-8b-base-sft-hh-harmless-4xh200-batch-64 – AI Model by jackf857 | AlphaNeural AI
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jackf857
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qwen3-8b-base-sft-hh-harmless-4xh200-batch-64
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transformers
safetensors
qwen3
text-generation
alignment-handbook
generated_from_trainer
conversational
Anthropic/hh-rlhf
Qwen/Qwen3-8B-Base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452
This model is a fine-tuned version of
Qwen/Qwen3-8B-Base
on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:
Loss: 1.5309
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
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
1.5831
0.4630
100
1.6093
1.5043
0.9259
200
1.5309
Framework versions
Transformers 4.51.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.21.4
