Upload TFBertForTokenClassification

README.md

@@ -1,71 +1,21 @@
 ---
-language:
-- tr
 license: mit
 base_model: dbmdz/bert-base-turkish-cased
-datasets:
-- wikiann
-- tr
-metrics:
-- precision
-- recall
-- f1
-- accuracy
+tags:
+- generated_from_keras_callback
 model-index:
-- name: bert-base-turkish-cased-None
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: wikiann
-      type: wikiann
-      args: default
-    metrics:
-    - name: precision
-      type: precision
-      value: 0.9026122547249308
-    - name: recall
-      type: recall
-      value: 0.9218096877305139
-    - name: f1
-      type: f1
-      value: 0.912109968979989
-    - name: accuracy
-      type: accuracy
-      value: 0.9604539478979423
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: tr
-      type: tr
-    metrics:
-    - name: precision
-      type: precision
-      value: 0.9026122547249308
-    - name: recall
-      type: recall
-      value: 0.9218096877305139
-    - name: f1
-      type: f1
-      value: 0.912109968979989
-    - name: accuracy
-      type: accuracy
-      value: 0.9604539478979423
+- name: bert-base-turkish-cased-ner
+  results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
 
-# bert-base-turkish-cased-None
+# bert-base-turkish-cased-ner
 
-This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the wikiann and the tr datasets.
+This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- precision: 0.9026
-- recall: 0.9218
-- f1: 0.9121
-- accuracy: 0.9605
+
 
 ## Model description
 
@@ -84,17 +34,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- num_train_epochs: 5
-- train_batch_size: 16
-- eval_batch_size: 32
-- learning_rate: 2e-05
-- weight_decay_rate: 0.01
-- num_warmup_steps: 0
-- fp16: True
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5315, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+
 
 ### Framework versions
 
 - Transformers 4.38.2
-- Pytorch 2.1.0+cu121
+- TensorFlow 2.15.0
 - Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "dbmdz/bert-base-turkish-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PER",
+    "2": "I-PER",
+    "3": "B-ORG",
+    "4": "I-ORG",
+    "5": "B-LOC",
+    "6": "I-LOC"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-LOC": "5",
+    "B-ORG": "3",
+    "B-PER": "1",
+    "I-LOC": "6",
+    "I-ORG": "4",
+    "I-PER": "2",
+    "O": "0"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6190a06d3ad1874aef34cf8fb9383c2b8e1aa059351b7e4eb785d92b28ff5ed6
+size 440401892