cer-ner

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: dmis-lab/biobert-v1.1
+base_model: dmis-lab/biobert-base-cased-v1.1
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cer_model
 
-This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
+This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.5235
+- Loss: 0.4081
+- Precision: 0.9099
+- Recall: 0.8471
+- F1: 0.8774
+- Accuracy: 0.9268
 
 ## Model description
 
@@ -48,13 +48,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
 - num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.0           | 1.0   | 5178 | nan             | 0.0       | 0.0    | 0.0 | 0.5235   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0179        | 1.0   | 4841 | 0.4081          | 0.9099    | 0.8471 | 0.8774 | 0.9268   |
 
 
 ### Framework versions

config.json

@@ -1,11 +1,10 @@
 {
-  "_name_or_path": "dmis-lab/biobert-v1.1",
+  "_name_or_path": "dmis-lab/biobert-base-cased-v1.1",
   "architectures": [
     "BertForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:c97afdf2ca5a5d82e837ae32fcf430d50f51f09cd7c1bcb800b264f858310fdf
+oid sha256:348c0ba0ca23ebfaa378bdefd316fc9db0e8ecf4bb5f3cd16b67b9d30418dba6
 size 430911284

tokenizer.json

@@ -54,7 +54,7 @@
     "clean_text": true,
     "handle_chinese_chars": true,
     "strip_accents": null,
-    "lowercase": false
+    "lowercase": true
   },
   "pre_tokenizer": {
     "type": "BertPreTokenizer"

tokenizer_config.json

@@ -44,7 +44,7 @@
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_basic_tokenize": true,
-  "do_lower_case": false,
+  "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
   "never_split": null,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:2b687e106ab7ba05682da854439a79d6a5c5a2b64efcee55cb0195993a1151eb
 size 4728