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outputs – AI Model by thangtedao | AlphaNeural AI
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peft
tensorboard
safetensors
generated_from_trainer
tiiuae/falcon-7b
adapter
apache-2.0
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This model is a fine-tuned version of
tiiuae/falcon-7b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7625
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
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2971
1.0
17
1.0151
1.0235
2.0
34
0.8409
0.7755
3.0
51
0.7797
0.7146
4.0
68
0.7590
0.333
5.0
85
0.7625
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
