File size: 1,426 Bytes
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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).
--- |