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falcon-1.58-reasoner-v1 – AI Model by lacesseapp | AlphaNeural AI
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lacesseapp
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falcon-1.58-reasoner-v1
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peft
safetensors
adapter
lora
transformers
text-generation
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databricks/databricks-dolly-15k
tiiuae/Falcon-E-1B-Base
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falcon-1.58-reasoner-v1
This model is a fine-tuned version of
tiiuae/Falcon-E-1B-Base
on the Databricks/Dolly 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.8.0+cu126
Datasets 4.5.0
Tokenizers 0.22.1
