Upload BertForSequenceClassification
Browse files- README.md +1 -18
- config.json +8 -0
README.md
CHANGED
|
@@ -6,27 +6,10 @@ tags:
|
|
| 6 |
- bert
|
| 7 |
- transformers
|
| 8 |
- huggingface
|
| 9 |
-
|
| 10 |
license: mit
|
| 11 |
language: en
|
| 12 |
datasets:
|
| 13 |
-
- mrm8488/NLP-Twitter-disaster
|
| 14 |
-
model-index:
|
| 15 |
-
- name: AI4SDG-BERT
|
| 16 |
-
results:
|
| 17 |
-
- task:
|
| 18 |
-
name: Text Classification
|
| 19 |
-
type: text-classification
|
| 20 |
-
metrics:
|
| 21 |
-
- name: Accuracy
|
| 22 |
-
type: accuracy
|
| 23 |
-
value: 0.92
|
| 24 |
-
- name: F1
|
| 25 |
-
type: f1
|
| 26 |
-
value: 0.91
|
| 27 |
-
- name: AUC
|
| 28 |
-
type: auc
|
| 29 |
-
value: 0.94
|
| 30 |
---
|
| 31 |
|
| 32 |
# AI4SDG-BERT Model Card
|
|
|
|
| 6 |
- bert
|
| 7 |
- transformers
|
| 8 |
- huggingface
|
|
|
|
| 9 |
license: mit
|
| 10 |
language: en
|
| 11 |
datasets:
|
| 12 |
+
- mrm8488/NLP-Twitter-disaster
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
|
| 15 |
# AI4SDG-BERT Model Card
|
config.json
CHANGED
|
@@ -8,8 +8,16 @@
|
|
| 8 |
"hidden_act": "gelu",
|
| 9 |
"hidden_dropout_prob": 0.1,
|
| 10 |
"hidden_size": 768,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
"initializer_range": 0.02,
|
| 12 |
"intermediate_size": 3072,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
"layer_norm_eps": 1e-12,
|
| 14 |
"max_position_embeddings": 512,
|
| 15 |
"model_type": "bert",
|
|
|
|
| 8 |
"hidden_act": "gelu",
|
| 9 |
"hidden_dropout_prob": 0.1,
|
| 10 |
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "not_disaster",
|
| 13 |
+
"1": "disaster"
|
| 14 |
+
},
|
| 15 |
"initializer_range": 0.02,
|
| 16 |
"intermediate_size": 3072,
|
| 17 |
+
"label2id": {
|
| 18 |
+
"disaster": 1,
|
| 19 |
+
"not_disaster": 0
|
| 20 |
+
},
|
| 21 |
"layer_norm_eps": 1e-12,
|
| 22 |
"max_position_embeddings": 512,
|
| 23 |
"model_type": "bert",
|