End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: beomi/kcbert-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: naver_review
   results: []
@@ -16,12 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0803
-- eval_runtime: 49.2464
-- eval_samples_per_second: 1015.241
-- eval_steps_per_second: 7.94
-- epoch: 4.0
-- step: 4688
+- Loss: 0.2528
+- Accuracy: 0.8974
 
 ## Model description
 
@@ -46,7 +44,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.184         | 1.0   | 1172 | 0.2528          | 0.8974   |
+
 
 ### Framework versions
 

config.json

@@ -10,12 +10,14 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0"
+    "0": "\ubd80\uc815",
+    "1": "\uae0d\uc815"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0
+    "\uae0d\uc815": 1,
+    "\ubd80\uc815": 0
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 300,
@@ -29,7 +31,7 @@
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
-  "problem_type": "regression",
+  "problem_type": "multi_label_classification",
   "transformers_version": "4.57.1",
   "type_vocab_size": 2,
   "use_cache": true,

model.safetensors

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+size 435703792

runs/Nov05_08-07-53_608366238c69/events.out.tfevents.1762330165.608366238c69.2140.1

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runs/Nov05_08-07-53_608366238c69/events.out.tfevents.1762330746.608366238c69.2140.2

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training_args.bin

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