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--- |
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language: |
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- en |
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license: mit |
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library_name: transformers |
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datasets: |
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- fedora-copr/autoannotated_snippets_mistral |
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metrics: |
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- rouge |
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tags: |
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- code |
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model_index: |
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name: phi-2-snippets-logdetective |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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type: fedora-copr/autoannotated_snippets_mistral |
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name: autoannotated_snippets_mistral |
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metrics: |
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- name: rouge-1-recall |
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type: rouge-1 |
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value: 0.4928060294187831 |
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verified: false |
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- name: rouge-1-precision |
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type: rouge-1 |
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value: 0.3842279864863966 |
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verified: false |
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- name: rouge-1-f1 |
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type: rouge-1 |
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value: 0.4228375247665276 |
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verified: false |
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- name: rouge-2-recall |
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type: rouge-2 |
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value: 0.22104701377745636 |
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verified: false |
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- name: rouge-2-precision |
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type: rouge-2 |
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value: 0.15216741180621804 |
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verified: false |
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- name: rouge-2-f1 |
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type: rouge-2 |
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value: 0.17506785950227427 |
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verified: false |
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- name: rouge-l-recall |
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type: rouge-l |
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value: 0.4588693388086414 |
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verified: false |
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- name: rouge-l-precision |
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type: rouge-l |
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value: 0.3579633500466938 |
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verified: false |
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- name: rouge-l-f1 |
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type: rouge-l |
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value: 0.3938760006165079 |
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verified: false |
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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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## 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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- **Developed by:** Jiri Podivin <jpodivin@redhat.com> |
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- **Model type:** phi-2 |
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- **Language(s) (NLP):** English |
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- **License:** MIT |
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- **Finetuned from model [optional]:** microsoft/phi-2 |
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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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- **Demo [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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### Training Data |
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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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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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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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[fedora-copr/autoannotated_snippets_mistral](https://huggingface.co/datasets/fedora-copr/autoannotated_snippets_mistral) |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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Rouge metric was used to compare model outputs with expected annotations from test subset. |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Technical Specifications |
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### Compute Infrastructure |
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Single node |
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#### Hardware |
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- 1 * GeForce RTX 4090 |
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#### Software |
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- transformers |
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- peft |
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## Model Card Authors [optional] |
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- Jiri Podivin <jpodivin@redhat.com> |
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