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blockffn-lora-dolmino-wiki – AI Model by cakeng | AlphaNeural AI
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blockffn-lora-dolmino-wiki
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
openai/gpt-oss-20b
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blockffn-lora_dolmino_wiki
This model is a fine-tuned version of
openai/gpt-oss-20b
on the dolmino_wiki 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 8
total_train_batch_size: 48
total_eval_batch_size: 48
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
training_steps: 2000
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.1