End of training

README.md

@@ -5,9 +5,6 @@ tags:
 model-index:
 - name: paper-cutting
   results: []
-language:
-- en
-- zh
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +16,7 @@ This model was trained from scratch on an unknown dataset.
 
 ## Model description
 
-This is a model finetuned for extracting body contents from articles and books while excluding cites. Just like cutting them off the paper.
+More information needed
 
 ## Intended uses & limitations
 
@@ -35,8 +32,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 6e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,4 +44,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.1
 - Pytorch 2.4.0
 - Datasets 3.0.1
-- Tokenizers 0.20.0
+- Tokenizers 0.20.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/kaggle/working/paper-cutting-outputs/checkpoint-640",
+  "_name_or_path": "/kaggle/working/paper-cutting-outputs/checkpoint-826",
   "architectures": [
     "SegformerForSemanticSegmentation"
   ],

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training_args.bin

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