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SFT-Falcon-7b – AI Model by JC-24 | AlphaNeural AI
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JC-24
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SFT-Falcon-7b
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
tiiuae/falcon-7b
adapter
apache-2.0
us
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SFT-Falcon-7b
This model is a fine-tuned version of
tiiuae/falcon-7b
on an unknown 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
