heado

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: beomi/kcbert-base
 tags:
@@ -18,8 +19,8 @@ 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 unsmile_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1421
-- Lrap: 0.8755
+- Loss: 0.1290
+- Lrap: 0.8808
 
 ## Model description
 
@@ -50,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Lrap   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 235  | 0.1284          | 0.8698 |
-| No log        | 2.0   | 470  | 0.1251          | 0.8745 |
-| 0.0975        | 3.0   | 705  | 0.1311          | 0.8775 |
-| 0.0975        | 4.0   | 940  | 0.1395          | 0.8754 |
-| 0.0519        | 5.0   | 1175 | 0.1421          | 0.8755 |
+| No log        | 1.0   | 235  | 0.1494          | 0.8536 |
+| No log        | 2.0   | 470  | 0.1288          | 0.8700 |
+| 0.173         | 3.0   | 705  | 0.1234          | 0.8802 |
+| 0.173         | 4.0   | 940  | 0.1274          | 0.8809 |
+| 0.0792        | 5.0   | 1175 | 0.1290          | 0.8808 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.19.1

config.json

@@ -49,7 +49,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.42.4",
+  "transformers_version": "4.44.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30000

model.safetensors

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runs/Oct16_02-52-52_aa095b571eb5/events.out.tfevents.1729047578.aa095b571eb5.948.0

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training_args.bin

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