init

label_to_id.json

@@ -0,0 +1 @@
+{"O": 0, "B-organization": 1, "I-organization": 2, "B-location": 3, "I-location": 4, "B-person": 5, "I-person": 6, "B-other": 7}

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78ebe3070608c4c0090f4c6acbf4a55775cf56aae2399496d4e9c243cc88de2e
+size 1109924243

parameter.json

@@ -0,0 +1 @@
+{"dataset": ["fin"], "transformers_model": "xlm-roberta-base", "random_seed": 1234, "lr": 1e-05, "total_step": 13000, "warmup_step": 700, "weight_decay": 1e-07, "batch_size": 16, "max_seq_length": 128, "fp16": false, "max_grad_norm": 1.0, "lower_case": false}

test_bc5cdr_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}, "test": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}

test_bionlp2004_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 0.0, "recall": 0.0, "precision": 0.0, "summary": ""}}

test_conll2003_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 78.75143690865681, "recall": 75.15611814345992, "precision": 82.70802377414562, "summary": "              precision    recall  f1-score   support\n\n      entity       0.83      0.75      0.79      5925\n\n   micro avg       0.83      0.75      0.79      5925\n   macro avg       0.83      0.75      0.79      5925\nweighted avg       0.83      0.75      0.79      5925\n"}, "test": {"f1": 73.47589570437066, "recall": 69.53665897390378, "precision": 77.88824816066813, "summary": "              precision    recall  f1-score   support\n\n      entity       0.78      0.70      0.73      5633\n\n   micro avg       0.78      0.70      0.73      5633\n   macro avg       0.78      0.70      0.73      5633\nweighted avg       0.78      0.70      0.73      5633\n"}}

test_fin.json

@@ -0,0 +1 @@
+{"valid": {"f1": 81.34328358208954, "recall": 84.49612403100775, "precision": 78.41726618705036, "summary": "              precision    recall  f1-score   support\n\n    location       0.57      0.66      0.61        35\norganization       0.44      0.56      0.49        50\n       other       1.00      0.50      0.67         6\n      person       0.96      0.98      0.97       167\n\n   micro avg       0.78      0.84      0.81       258\n   macro avg       0.74      0.67      0.69       258\nweighted avg       0.81      0.84      0.82       258\n"}}

test_fin_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 82.77153558052434, "recall": 85.65891472868216, "precision": 80.07246376811594, "summary": "              precision    recall  f1-score   support\n\n      entity       0.80      0.86      0.83       258\n\n   micro avg       0.80      0.86      0.83       258\n   macro avg       0.80      0.86      0.83       258\nweighted avg       0.80      0.86      0.83       258\n"}}

test_ontonotes5_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 50.26029342167534, "recall": 67.28332488596047, "precision": 40.111799365463064, "summary": "              precision    recall  f1-score   support\n\n      entity       0.40      0.67      0.50      3946\n\n   micro avg       0.40      0.67      0.50      3946\n   macro avg       0.40      0.67      0.50      3946\nweighted avg       0.40      0.67      0.50      3946\n"}, "test": {"f1": 49.0296803652968, "recall": 65.09219499873706, "precision": 39.325499771097206, "summary": "              precision    recall  f1-score   support\n\n      entity       0.39      0.65      0.49      3959\n\n   micro avg       0.39      0.65      0.49      3959\n   macro avg       0.39      0.65      0.49      3959\nweighted avg       0.39      0.65      0.49      3959\n"}}

test_panx_dataset-en_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 61.0924921397229, "recall": 62.63549415515409, "precision": 59.62368492042083, "summary": "              precision    recall  f1-score   support\n\n      entity       0.60      0.63      0.61     14115\n\n   micro avg       0.60      0.63      0.61     14115\n   macro avg       0.60      0.63      0.61     14115\nweighted avg       0.60      0.63      0.61     14115\n"}, "test": {"f1": 60.666971219735046, "recall": 62.12753706635959, "precision": 59.27350133900981, "summary": "              precision    recall  f1-score   support\n\n      entity       0.59      0.62      0.61     13894\n\n   micro avg       0.59      0.62      0.61     13894\n   macro avg       0.59      0.62      0.61     13894\nweighted avg       0.59      0.62      0.61     13894\n"}}

test_wnut2017_span.json

@@ -0,0 +1 @@
+{"valid": {"f1": 68.51851851851852, "recall": 68.01470588235294, "precision": 69.02985074626866, "summary": "              precision    recall  f1-score   support\n\n      entity       0.69      0.68      0.69       544\n\n   micro avg       0.69      0.68      0.69       544\n   macro avg       0.69      0.68      0.69       544\nweighted avg       0.69      0.68      0.69       544\n"}, "test": {"f1": 62.15578284815106, "recall": 68.33910034602077, "precision": 56.99855699855701, "summary": "              precision    recall  f1-score   support\n\n      entity       0.57      0.68      0.62       578\n\n   micro avg       0.57      0.68      0.62       578\n   macro avg       0.57      0.68      0.62       578\nweighted avg       0.57      0.68      0.62       578\n"}}