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sbaru
/
ynat-model

Text Classification
Transformers
Safetensors
Korean
electra
Korean-NLP
topic-classification
news-classification
Generated from Trainer
Model card Files
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Community
sbaru commited on
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sbaru/news-topic-classifier

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Files changed (4) hide show
  1. README.md +10 -10
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue-ynat dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4131
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- - Accuracy: 0.8589
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- - Precision: 0.8477
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- - Recall: 0.8712
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- - F1: 0.8588
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  ## Model description
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@@ -62,14 +62,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.3956 | 1.0 | 714 | 0.4286 | 0.8542 | 0.8351 | 0.8768 | 0.8542 |
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- | 0.2884 | 2.0 | 1428 | 0.4004 | 0.8565 | 0.8476 | 0.8696 | 0.8567 |
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- | 0.222 | 3.0 | 2142 | 0.4131 | 0.8589 | 0.8477 | 0.8712 | 0.8588 |
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  ### Framework versions
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- - Transformers 4.54.1
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  - Pytorch 2.6.0+cu124
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  - Datasets 4.0.0
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- - Tokenizers 0.21.4
 
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  This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue-ynat dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4071
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+ - Accuracy: 0.8612
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+ - Precision: 0.8523
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+ - Recall: 0.8748
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+ - F1: 0.8630
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.4097 | 1.0 | 714 | 0.4866 | 0.8362 | 0.8105 | 0.8674 | 0.8335 |
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+ | 0.2884 | 2.0 | 1428 | 0.4015 | 0.8564 | 0.8476 | 0.8744 | 0.8593 |
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+ | 0.2299 | 3.0 | 2142 | 0.4071 | 0.8612 | 0.8523 | 0.8748 | 0.8630 |
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  ### Framework versions
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+ - Transformers 4.54.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 4.0.0
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+ - Tokenizers 0.21.2
config.json CHANGED
@@ -41,7 +41,7 @@
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.54.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 35000
 
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.54.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 35000
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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