Update README.md

README.md

@@ -1,199 +1,111 @@
 ---
 library_name: transformers
-tags: []
+language:
+- de
+base_model:
+- GerMedBERT/medbert-512
+pipeline_tag: token-classification
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+We fine-tuned our base model for 71 epochs on the Ca dataset, epoch 68 showed the best macro average f1 score on the evaluation dataset.
 
 
+## Metrics
 
-## Model Details
+eval_AVGf1 0.8032336746529752
 
-### Model Description
+eval_DIAGNOSIS.f1 0.7955801104972375
 
-<!-- Provide a longer summary of what this model is. -->
+eval_DIAGNOSIS.precision 0.7656557699881843
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+eval_DIAGNOSIS.recall 0.82793867120954
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+eval_DIAGNOSTIC.f1 0.8097188097188096
 
-### Model Sources [optional]
+eval_DIAGNOSTIC.precision 0.7797055730809674
 
-<!-- Provide the basic links for the model. -->
+eval_DIAGNOSTIC.recall 0.8421351504826803
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+eval_DRUG.f1 0.9214929214929215
 
-## Uses
+eval_DRUG.precision 0.9002514668901928
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+eval_DRUG.recall 0.9437609841827768
 
-### Direct Use
+eval_MEDICAL_FINDING.f1 0.7812833218340337
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+eval_MEDICAL_FINDING.precision 0.7604395604395604
 
-[More Information Needed]
+eval_MEDICAL_FINDING.recall 0.8033019476331743
 
-### Downstream Use [optional]
+eval_THERAPY.f1 0.7080932097218742
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+eval_THERAPY.precision 0.6731777036684136
 
-[More Information Needed]
+eval_THERAPY.recall 0.7468287526427061
 
-### Out-of-Scope Use
+eval_accuracy 0.9415681083480303
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+eval_f1 0.788057764075937
 
-[More Information Needed]
+eval_loss 0.46635299921035767
 
-## Bias, Risks, and Limitations
+eval_precision 0.7625447465929787
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+eval_recall 0.8153370937416062
 
-[More Information Needed]
+eval_runtime 36.5944
 
-### Recommendations
+eval_samples_per_second 223.586
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+eval_steps_per_second 27.955
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+test_AVGf1 0.765773820622575
 
-## How to Get Started with the Model
+test_DIAGNOSIS.f1 0.7267739575713241
 
-Use the code below to get started with the model.
+test_DIAGNOSIS.precision 0.742803738317757
 
-[More Information Needed]
+test_DIAGNOSIS.recall 0.711421410669531
 
-## Training Details
+test_DIAGNOSTIC.f1 0.7813144034806503
 
-### Training Data
+test_DIAGNOSTIC.precision 0.77124773960217
 
-<!-- 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. -->
+test_DIAGNOSTIC.recall 0.7916473317865429
 
-[More Information Needed]
+test_DRUG.f1 0.9209993247805537
 
-### Training Procedure
+test_DRUG.precision 0.9021164021164021
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+test_DRUG.recall 0.9406896551724138
 
-#### Preprocessing [optional]
+test_MEDICAL_FINDING.f1 0.7354366197183099
 
-[More Information Needed]
+test_MEDICAL_FINDING.precision 0.6959164089988271
 
+test_MEDICAL_FINDING.recall 0.7797156851033329
 
-#### Training Hyperparameters
+test_THERAPY.f1 0.6643447975620373
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+test_THERAPY.precision 0.6411764705882353
 
-#### Speeds, Sizes, Times [optional]
+test_THERAPY.recall 0.6892502258355917
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+test_accuracy 0.9330358352068041
 
-[More Information Needed]
+test_f1 0.7461369909791981
 
-## Evaluation
+test_loss 0.5957663655281067
 
-<!-- This section describes the evaluation protocols and provides the results. -->
+test_precision 0.7219958145170173
 
-### Testing Data, Factors & Metrics
+test_recall 0.7719484190072425
 
-#### Testing Data
+test_runtime 42.5823
 
-<!-- This should link to a Dataset Card if possible. -->
+test_samples_per_second 222.839
 
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **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
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+test_steps_per_second 27.875