| license: mit | |
| datasets: | |
| - DFKI-SLT/tacred | |
| language: | |
| - en | |
| metrics: | |
| - f1 | |
| library_name: transformers | |
| pipeline_tag: text-classification | |
| # Optional. Add this if you want to encode your eval results in a structured way. | |
| model-index: | |
| - name: re_bert-base_tacred | |
| results: | |
| - task: | |
| type: relation-classification # Required. Example: automatic-speech-recognition | |
| name: Relation Classification # Optional. Example: Speech Recognition | |
| dataset: | |
| type: DFKI-SLT/tacred # Required. Example: common_voice. Use dataset id from https://hf.co/datasets | |
| name: TAC Relation Extraction Dataset # Required. A pretty name for the dataset. Example: Common Voice (French) | |
| config: revisited # Optional. The name of the dataset configuration used in `load_dataset()`. Example: fr in `load_dataset("common_voice", "fr")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name | |
| split: test # Optional. Example: test | |
| metrics: | |
| - type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics | |
| value: 0.7985 # Required. Example: 20.90 | |
| name: test/f1 # Optional. Example: Test WER | |
| verified: false # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported). | |