Model save

README.md

@@ -1,40 +1,13 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: distilbert-base-multilingual-cased
 tags:
 - generated_from_trainer
 datasets:
 - wnut_17
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: ner_model
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: wnut_17
-      type: wnut_17
-      config: wnut_17
-      split: validation
-      args: wnut_17
-    metrics:
-    - name: Precision
-      type: precision
-      value: 0.7006578947368421
-    - name: Recall
-      type: recall
-      value: 0.5095693779904307
-    - name: F1
-      type: f1
-      value: 0.590027700831025
-    - name: Accuracy
-      type: accuracy
-      value: 0.9553054866806535
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,13 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ner_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2586
-- Precision: 0.7007
-- Recall: 0.5096
-- F1: 0.5900
-- Accuracy: 0.9553
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the wnut_17 dataset.
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "distilbert-base-multilingual-cased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForTokenClassification"
@@ -44,6 +44,7 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
+  "output_past": true,
   "pad_token_id": 0,
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
@@ -51,5 +52,5 @@
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.36.0.dev0",
-  "vocab_size": 30522
+  "vocab_size": 119547
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 265503852
+oid sha256:dca84da4e2fb5b8fb759722eb4a66deb258b8c5a8e4d4b2a2feaec26b2e2d408
+size 538988660

runs/Dec05_06-40-48_ddba0bfe6b5f/events.out.tfevents.1701758472.ddba0bfe6b5f.848.0

@@ -0,0 +1,3 @@
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+size 5567

tokenizer_config.json

@@ -43,7 +43,7 @@
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_lower_case": true,
+  "do_lower_case": false,
   "mask_token": "[MASK]",
   "model_max_length": 512,
   "pad_token": "[PAD]",

training_args.bin

@@ -1,3 +1,3 @@
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 size 4728