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memorygreen
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kobert_naver

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
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memorygreen/kobert_naver

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Files changed (3) hide show
  1. README.md +3 -3
  2. config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6869
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  ## Model description
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@@ -47,12 +47,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6947 | 1.0 | 1000 | 0.6869 |
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  ### Framework versions
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- - Transformers 5.10.2
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  - Pytorch 2.11.0+cu128
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  - Datasets 4.0.0
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  - Tokenizers 0.22.2
 
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  This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6960 | 1.0 | 1000 | 0.6917 |
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  ### Framework versions
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+ - Transformers 5.12.0
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  - Pytorch 2.11.0+cu128
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  - Datasets 4.0.0
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  - Tokenizers 0.22.2
config.json CHANGED
@@ -22,7 +22,7 @@
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  "pad_token_id": 1,
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  "problem_type": "single_label_classification",
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  "tie_word_embeddings": true,
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- "transformers_version": "5.10.2",
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  "type_vocab_size": 2,
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  "use_cache": false,
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  "vocab_size": 8002
 
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  "pad_token_id": 1,
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  "problem_type": "single_label_classification",
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  "tie_word_embeddings": true,
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+ "transformers_version": "5.12.0",
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  "type_vocab_size": 2,
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  "use_cache": false,
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  "vocab_size": 8002
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 368777128
 
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  size 368777128