Update README.md

README.md

@@ -1,199 +1,110 @@
 ---
 library_name: transformers
-tags: []
+language:
+- de
+base_model:
+- FacebookAI/xlm-roberta-large
+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 61 showed the best macro average f1 score on the evaluation dataset.
 
+## Metrics
 
+eval_AVGf1 0.8073040334161414
 
-## Model Details
+eval_DIAGNOSIS.f1 0.8044417026526834
 
-### Model Description
+eval_DIAGNOSIS.precision 0.7774244833068362
 
-<!-- Provide a longer summary of what this model is. -->
+eval_DIAGNOSIS.recall 0.8334043459735833
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+eval_DIAGNOSTIC.f1 0.8154647655607348
 
-- **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.precision 0.7876059322033898
 
-### Model Sources [optional]
+eval_DIAGNOSTIC.recall 0.8453666856168277
 
-<!-- Provide the basic links for the model. -->
+eval_DRUG.f1 0.9283865401207938
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+eval_DRUG.precision 0.911864406779661
 
-## Uses
+eval_DRUG.recall 0.945518453427065
 
-<!-- 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_MEDICAL_FINDING.f1 0.7855789872458644
 
-### Direct Use
+eval_MEDICAL_FINDING.precision 0.7687839841819081
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+eval_MEDICAL_FINDING.recall 0.8031241931319391
 
-[More Information Needed]
+eval_THERAPY.f1 0.7026481715006304
 
-### Downstream Use [optional]
+eval_THERAPY.precision 0.6716489874638379
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+eval_THERAPY.recall 0.7366472765732417
 
-[More Information Needed]
+eval_accuracy 0.9359328085693419
 
-### Out-of-Scope Use
+eval_f1 0.7922039763638145
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+eval_loss 0.6178462505340576
 
-[More Information Needed]
+eval_precision 0.7703492063492063
 
-## Bias, Risks, and Limitations
+eval_recall 0.8153349909280291
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+eval_runtime 107.4969
 
-[More Information Needed]
+eval_samples_per_second 76.114
 
-### Recommendations
+eval_steps_per_second 9.517
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+test_AVGf1 0.7654950023468019
 
-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_DIAGNOSIS.f1 0.7317784256559767
 
-## How to Get Started with the Model
+test_DIAGNOSIS.precision 0.7442550037064493
 
-Use the code below to get started with the model.
+test_DIAGNOSIS.recall 0.7197132616487455
 
-[More Information Needed]
+test_DIAGNOSTIC.f1 0.7815242494226328
 
-## Training Details
+test_DIAGNOSTIC.precision 0.7779310344827586
 
-### Training Data
+test_DIAGNOSTIC.recall 0.7851508120649652
 
-<!-- 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_DRUG.f1 0.9199594731509625
 
-[More Information Needed]
+test_DRUG.precision 0.9013898080741231
 
-### Training Procedure
+test_DRUG.recall 0.9393103448275862
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+test_MEDICAL_FINDING.f1 0.7348673770120154
 
-#### Preprocessing [optional]
+test_MEDICAL_FINDING.precision 0.6987497305453761
 
-[More Information Needed]
+test_MEDICAL_FINDING.recall 0.7749223045661009
 
+test_THERAPY.f1 0.6593454864924225
 
-#### Training Hyperparameters
+test_THERAPY.precision 0.6414529914529915
 
-- **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.recall 0.6782647989154993
 
-#### Speeds, Sizes, Times [optional]
+test_accuracy 0.9244002381348251
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+test_f1 0.7459972552607502
 
-[More Information Needed]
+test_loss 0.7649919986724854
 
-## Evaluation
+test_precision 0.72469725586046
 
-<!-- This section describes the evaluation protocols and provides the results. -->
+test_recall 0.7685872510899022
 
-### Testing Data, Factors & Metrics
+test_runtime 124.1668
 
-#### Testing Data
+test_samples_per_second 76.421
 
-<!-- This should link to a Dataset Card if possible. -->
-
-[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 9.56