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logs – AI Model by Spophale | AlphaNeural AI
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7801
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: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9948
24
0.8328
1.2356
1.9896
48
0.7904
0.6283
2.9845
72
0.7775
0.5611
3.9793
96
0.7801
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
