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ph-3-instruct-finetuned-alpaca-dataset – AI Model by AlyGreo | AlphaNeural AI
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AlyGreo
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ph-3-instruct-finetuned-alpaca-dataset
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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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ph-3-instruct-finetuned-alpaca-dataset
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8082
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
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: cosine
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
0.8511
0.09
1000
0.8115
0.7849
0.18
2000
0.8082
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
