fc91/phi3-mini-instruct-full_ethics-lora

Model Card for Model ID

Fine-tuned version of Phi-3-mini-4k-instruct on a subset of the hendrycks/ethics dataset

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoModel
model = AutoModel.from_pretrained("fc91/phi3-mini-instruct-full_ethics-lora")
tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")

Training Details

Training Data

"hendrycks/ethics"

The following subsets of the above dataset were leveraged:
-commonsense (10k random samples)
-deontology (10k random samples)
-justice (10k random samples)
-utilitarianism (10k random samples)

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

per_device_train_batch_size=16  
per_device_eval_batch_size=32  
gradient_accumulation_steps=2
gradient_checkpointing=True
warmup_steps=100
num_train_epochs=1
learning_rate=0.00005
weight_decay=0.01
optim="adamw_hf"
fp16=True

Speeds, Sizes, Times [optional]

The overall training took 3 hours and 23 minutes.

Evaluation

Training Loss = 0.181700

Validation Loss = 0.119734

Testing Data, Factors & Metrics

Testing Data

"hendrycks/ethics"

The following subsets of the above dataset were leveraged:
-commonsense (2.5k random samples)
-deontology (2.5k random samples)
-justice (2.5k random samples)
-utilitarianism (2.5k random samples)

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: [More Information Needed]
• Hours used: [More Information Needed]
• Cloud Provider: [More Information Needed]
• Compute Region: [More Information Needed]
• Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

NVIDIA A100-SXM4-40GB

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]