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--- |
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library_name: transformers |
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language: |
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- en |
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metrics: |
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- accuracy |
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- f1 |
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base_model: |
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- microsoft/deberta-base |
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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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Multi-Label Classification Model from the Homework#4 in the Natural Language Processing class of Hanyang University. |
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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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- **Developed by:** Louis MARTYR |
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- **Model type:** Multi-Label Classification |
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- **Language(s) (NLP):** English |
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- **Finetuned from model [optional]:** microsoft/deberta-base |
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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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[More Information Needed] |
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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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Epoch Training Loss Validation Loss Accuracy F1 Hamming |
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1 No log 0.071592 0.000000 0.000000 0.013605 |
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2 No log 0.044421 0.003966 0.041837 0.013340 |
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3 0.093600 0.019379 0.296761 0.695941 0.005845 |
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4 0.093600 0.010774 0.805684 0.937958 0.001664 |
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5 0.016600 0.007908 0.858559 0.952991 0.001344 |
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6 0.016600 0.006812 0.867812 0.953844 0.001331 |
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7 0.004000 0.006550 0.869134 0.953207 0.001344 |
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8 0.004000 0.006433 0.874422 0.956688 0.001281 |
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9 0.001900 0.006149 0.872439 0.955389 0.001295 |
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10 0.001900 0.005600 0.888962 0.958396 0.001182 |
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11 0.001900 0.005540 0.885658 0.959592 0.001169 --> Best model |
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12 0.001100 0.005667 0.884997 0.958190 0.001200 |
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13 0.001100 0.005625 0.879048 0.959149 0.001187 |
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14 0.000800 0.005998 0.881031 0.959557 0.001196 |
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15 0.000800 0.005847 0.882353 0.957629 0.001227 |
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16 0.000600 0.006074 0.877726 0.957484 0.001241 |
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17 0.000600 0.006146 0.875083 0.956739 0.001272 |
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18 0.000500 0.006010 0.884336 0.958790 0.001209 |
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19 0.000500 0.006058 0.881031 0.958078 0.001223 |
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20 0.000400 0.006077 0.881692 0.958275 0.001218 |
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### Results |
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Fine-tuned metrics: |
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{ |
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'eval_loss': 0.0055404407903552055, |
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'eval_accuracy': 0.8856576338400529, |
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'eval_f1': 0.959591960051247, |
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'eval_hamming': 0.0011690069286141424, |
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'eval_runtime': 3.3212, |
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'eval_samples_per_second': 455.556, |
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'eval_steps_per_second': 3.613, |
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'epoch': 20.0 |
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} |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
