End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.921937195931004
+      value: 0.9263309034680804
     - name: Recall
       type: recall
-      value: 0.9327665286944848
+      value: 0.9382481261886118
     - name: F1
       type: f1
-      value: 0.9273202468998499
+      value: 0.9322514311120992
     - name: Accuracy
       type: accuracy
-      value: 0.9831445501771331
+      value: 0.9836370279759162
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0629
-- Precision: 0.9219
-- Recall: 0.9328
-- F1: 0.9273
-- Accuracy: 0.9831
+- Loss: 0.0623
+- Precision: 0.9263
+- Recall: 0.9382
+- F1: 0.9323
+- Accuracy: 0.9836
 
 ## Model description
 
@@ -80,14 +80,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2535        | 1.0   | 878  | 0.0703          | 0.8992    | 0.9196 | 0.9093 | 0.9797   |
-| 0.0519        | 2.0   | 1756 | 0.0633          | 0.9161    | 0.9271 | 0.9215 | 0.9817   |
-| 0.0301        | 3.0   | 2634 | 0.0629          | 0.9219    | 0.9328 | 0.9273 | 0.9831   |
+| 0.1918        | 1.0   | 878  | 0.0674          | 0.9073    | 0.9244 | 0.9158 | 0.9809   |
+| 0.0508        | 2.0   | 1756 | 0.0614          | 0.9230    | 0.9351 | 0.9290 | 0.9827   |
+| 0.0292        | 3.0   | 2634 | 0.0623          | 0.9263    | 0.9382 | 0.9323 | 0.9836   |
 
 
 ### Framework versions
 
-- Transformers 4.45.2
-- Pytorch 2.4.1
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
 - Datasets 3.0.1
-- Tokenizers 0.20.1
+- Tokenizers 0.19.1

config.json

@@ -41,6 +41,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.45.2",
+  "transformers_version": "4.44.2",
   "vocab_size": 30522
 }

model.safetensors

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 size 265491548

runs/Oct18_14-37-02_2fa9ea9201b6/events.out.tfevents.1729262234.2fa9ea9201b6.540.2

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runs/Oct18_14-37-02_2fa9ea9201b6/events.out.tfevents.1729273647.2fa9ea9201b6.540.3

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tokenizer_config.json

@@ -41,7 +41,7 @@
       "special": true
     }
   },
-  "clean_up_tokenization_spaces": false,
+  "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",

training_args.bin

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