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Upload config
Browse files- README.md +15 -15
- config.json +9 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- accuracy
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- f1
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model-index:
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- name: finetuned-bert-mrpc
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
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base_model: bert-base-cased
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datasets:
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- glue
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license: apache-2.0
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metrics:
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- accuracy
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- f1
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tags:
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- generated_from_trainer
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model-index:
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- name: finetuned-bert-mrpc
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: glue
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type: glue
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args: mrpc
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metrics:
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- type: f1
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value: 0.8998
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name: F1
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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config.json
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{
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"_name_or_path": "bert-
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"architectures": [
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"BertForSequenceClassification"
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],
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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{
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"_name_or_path": "HoangVuSnape/finetuned-bert-mrpc",
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"architectures": [
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"BertForSequenceClassification"
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],
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "not equivalent",
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"1": "equivalent"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"equivalent": 1,
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"not equivalent": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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