tona3738/model1-1-small

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: Blue7Bird/chungli_ao_bert_model
+base_model: tona3738/my-chungliao-mlm-model
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # training_output
 
-This model is a fine-tuned version of [Blue7Bird/chungli_ao_bert_model](https://huggingface.co/Blue7Bird/chungli_ao_bert_model) on an unknown dataset.
+This model is a fine-tuned version of [tona3738/my-chungliao-mlm-model](https://huggingface.co/tona3738/my-chungliao-mlm-model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1354
-- Accuracy: 0.9541
-- F1: 0.9540
-- Precision: 0.9549
-- Recall: 0.9537
+- Loss: 0.1973
+- Accuracy: 0.9450
+- F1: 0.9450
+- Precision: 0.9450
+- Recall: 0.9451
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.1676153630159755e-05
+- learning_rate: 4.775052675890392e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -59,5 +59,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.45.2
 - Pytorch 2.5.1+cu121
-- Datasets 3.1.0
+- Datasets 3.2.0
 - Tokenizers 0.20.3

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Blue7Bird/chungli_ao_bert_model",
+  "_name_or_path": "tona3738/my-chungliao-mlm-model",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -23,5 +23,5 @@
   "transformers_version": "4.45.2",
   "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 21455
+  "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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+size 437958648

runs/Dec17_20-53-25_ea23181e71d0/events.out.tfevents.1734468806.ea23181e71d0.572.10

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training_args.bin

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