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1.7b-MixtureVitae-curated_instruct-100BT-longsft_16k – AI Model by ali-elganzory | AlphaNeural AI
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1.7b-MixtureVitae-curated_instruct-100BT-longsft_16k
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long-context-mv100bt-curated_instruct
This model is a fine-tuned version of
ontocord/1.7b-MixtureVitae-curated_instruct-100BT
on the long_sft 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 64
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: 0.05
num_epochs: 1.0
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0a0+7c8ec84dab.nv25.03
Datasets 3.6.0
Tokenizers 0.21.4
