Transformers
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  ---
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  library_name: transformers
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- tags: []
 
 
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  ---
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  # Model Card for Model ID
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  <!-- Provide a quick summary of what the model is/does. -->
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-
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  ## Model Details
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  ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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  ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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  - **Repository:** [More Information Needed]
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  - **Paper [optional]:** [More Information Needed]
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  ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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  [More Information Needed]
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  ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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  [More Information Needed]
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  ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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  [More Information Needed]
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  ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  [More Information Needed]
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  ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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- [More Information Needed]
 
 
 
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  ## Training Details
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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  ### Training Procedure
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  #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
 
 
 
 
 
 
 
 
 
 
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  #### Speeds, Sizes, Times [optional]
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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  ### Testing Data, Factors & Metrics
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  #### Testing Data
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  <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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  #### Factors
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  #### Hardware
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- [More Information Needed]
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  #### Software
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  ---
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  library_name: transformers
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+ license: cc-by-4.0
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+ datasets:
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+ - hendrycks/ethics
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  ---
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  # Model Card for Model ID
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  <!-- Provide a quick summary of what the model is/does. -->
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+ Fine-tuned version of Phi-3-mini-4k-instruct on a subset of the hendrycks/ethics dataset
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+ <!--
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  ## Model Details
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  ### Model Description
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+ <!-- Provide a longer summary of what this model is.
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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  ### Model Sources [optional]
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+ <!-- Provide the basic links for the model.
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  - **Repository:** [More Information Needed]
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  - **Paper [optional]:** [More Information Needed]
 
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  ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model.
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  ### Direct Use
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app.
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  [More Information Needed]
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  ### Downstream Use [optional]
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app
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  [More Information Needed]
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  ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for.
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  [More Information Needed]
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  ## Bias, Risks, and Limitations
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+ <!-- This section is meant to convey both technical and sociotechnical limitations.
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  [More Information Needed]
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  ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations.
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. -->
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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+ ```markdown
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+ from transformers import AutoModel
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+ model = AutoModel.from_pretrained("fc91/phi3-mini-instruct-full_ethics-lora")
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+ ```
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  ## Training Details
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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  ### Training Procedure
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  #### Training Hyperparameters
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+ ```markdown
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+ per_device_train_batch_size=16
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+ per_device_eval_batch_size=32
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+ gradient_accumulation_steps=2
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+ gradient_checkpointing=True
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+ warmup_steps=100
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+ num_train_epochs=1
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+ learning_rate=0.00005
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+ weight_decay=0.01
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+ optim="adamw_hf"
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+ fp16=True
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+ ```
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  #### Speeds, Sizes, Times [optional]
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  <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ The overall training took 1 hour 23 minutes.
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  ## Evaluation
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ Training Loss = 0.181700
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+
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+ Validation Loss = 0.119734
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+
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  ### Testing Data, Factors & Metrics
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  #### Testing Data
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  <!-- This should link to a Dataset Card if possible. -->
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+ ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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  #### Factors
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  #### Hardware
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+ NVIDIA A100-SXM4-40GB
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  #### Software
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