End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: bert-base-uncased
+base_model: bert-large-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.903734876380852
+      value: 0.9105776839883936
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERT-NER-CoNLL
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the conll2003 dataset.
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1199
-- F1: 0.9037
+- Loss: 0.1243
+- F1: 0.9106
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1298        | 1.0   | 878  | 0.1098          | 0.8849 |
-| 0.0355        | 2.0   | 1756 | 0.1139          | 0.9012 |
-| 0.0202        | 3.0   | 2634 | 0.1199          | 0.9037 |
+| 0.115         | 1.0   | 878  | 0.1003          | 0.8983 |
+| 0.0276        | 2.0   | 1756 | 0.1157          | 0.9081 |
+| 0.0128        | 3.0   | 2634 | 0.1243          | 0.9106 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "bert-large-uncased",
   "architectures": [
     "BertForTokenClassification"
   ],
@@ -8,7 +8,7 @@
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "id2label": {
     "0": "O",
     "1": "B-PER",
@@ -21,7 +21,7 @@
     "8": "I-MISC"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "label2id": {
     "B-LOC": 5,
     "B-MISC": 7,
@@ -36,8 +36,8 @@
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:93adbba002de4da818263e110638eae20bfcc998bc12c7f3874dcaddcd71594d
-size 435617620
+oid sha256:4f1aa56528ed4b4845a575d24806836ace270e86df537b76bb0e8677ae5724af
+size 1336452868