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reuters-falcon-qlora – AI Model by seshu1729 | AlphaNeural AI | AlphaNeural AI
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seshu1729
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reuters-falcon-qlora
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
tiiuae/falcon-7b
apache-2.0
us
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reuters-falcon-qlora
This model is a fine-tuned version of
tiiuae/falcon-7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9566
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.9478
1.0
16
1.9566
Framework versions
PEFT 0.18.0
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
