End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.6296160430423087
+      value: 0.6381977967570244
     - name: Recall
       type: recall
-      value: 0.6202119971091303
+      value: 0.621055167429535
     - name: F1
       type: f1
-      value: 0.6248786407766991
+      value: 0.6295097979366338
     - name: Accuracy
       type: accuracy
-      value: 0.9305489339527457
+      value: 0.9309591653454259
 ---
 
 <!-- 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 conll2002 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2451
-- Precision: 0.6296
-- Recall: 0.6202
-- F1: 0.6249
-- Accuracy: 0.9305
+- Loss: 0.2431
+- Precision: 0.6382
+- Recall: 0.6211
+- F1: 0.6295
+- Accuracy: 0.9310
 
 ## Model description
 
@@ -80,13 +80,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3571        | 1.0   | 521  | 0.2721          | 0.5804    | 0.5771 | 0.5787 | 0.9217   |
-| 0.203         | 2.0   | 1042 | 0.2451          | 0.6296    | 0.6202 | 0.6249 | 0.9305   |
+| 0.3539        | 1.0   | 521  | 0.2735          | 0.5837    | 0.5829 | 0.5833 | 0.9218   |
+| 0.207         | 2.0   | 1042 | 0.2431          | 0.6382    | 0.6211 | 0.6295 | 0.9310   |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
-- Datasets 3.1.0
-- Tokenizers 0.19.1
+- Transformers 4.45.1
+- Pytorch 2.4.0+cpu
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -41,6 +41,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.44.2",
+  "transformers_version": "4.45.1",
   "vocab_size": 30522
 }

model.safetensors

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 size 265491548

runs/Nov13_20-32-19_908f92b37c24/events.out.tfevents.1731529961.908f92b37c24.30.0

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runs/Nov13_20-32-19_908f92b37c24/events.out.tfevents.1731535589.908f92b37c24.30.1

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tokenizer_config.json

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

training_args.bin

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