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sft__ot30k_open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-longsft_16k-SFT-Tulu3 – AI Model by open-sci | AlphaNeural AI
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sft__ot30k_open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-longsft_16k-SFT-Tulu3
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ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-longsft_16k-SFT-Tulu3-decontaminated
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sft__f679a5c592c8dffb__b2864c4f6c8dc6c0624a__sdpa-open-sci-steps
This model is a fine-tuned version of
ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-longsft_16k-SFT-Tulu3-decontaminated
on the /gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb 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: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 256
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
num_epochs: 5.0
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.21.4
