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phi3_5_mini_instruct_lora_chemical_eng_flash – AI Model by ShilpaSandhya | AlphaNeural AI
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ShilpaSandhya
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phi3_5_mini_instruct_lora_chemical_eng_flash
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peft
safetensors
generated_from_trainer
microsoft/Phi-3.5-mini-instruct
adapter
mit
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phi3_5_mini_instruct_lora_chemical_eng_flash
This model is a fine-tuned version of
microsoft/Phi-3.5-mini-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0794
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0874
0.7319
100
0.0869
0.0781
1.4639
200
0.0809
0.0764
2.1958
300
0.0800
0.0782
2.9277
400
0.0794
0.0769
3.6597
500
0.0795
0.0697
4.3916
600
0.0794
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
