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test_model

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
text-embeddings-inference
Model card Files
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End of training

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  1. README.md +15 -20
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- license: cc-by-sa-4.0
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- base_model: hun3359/klue-bert-base-sentiment
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -8,7 +7,6 @@ metrics:
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  model-index:
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  - name: test_model
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  results: []
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- pipeline_tag: text-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # test_model
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- This model is a fine-tuned version of [hun3359/klue-bert-base-sentiment](https://huggingface.co/hun3359/klue-bert-base-sentiment) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3206
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- - Accuracy: 0.6641
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5047 | 0.37 | 100 | 0.9652 | 0.6467 |
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- | 0.8768 | 0.74 | 200 | 0.8288 | 0.6838 |
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- | 0.7917 | 1.11 | 300 | 0.8921 | 0.6820 |
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- | 0.6015 | 1.48 | 400 | 0.8900 | 0.6809 |
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- | 0.5995 | 1.85 | 500 | 0.9054 | 0.6804 |
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- | 0.4939 | 2.21 | 600 | 0.9975 | 0.6706 |
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- | 0.3935 | 2.58 | 700 | 1.0417 | 0.6726 |
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- | 0.3923 | 2.95 | 800 | 1.0413 | 0.6677 |
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- | 0.2532 | 3.32 | 900 | 1.1942 | 0.6680 |
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- | 0.2396 | 3.69 | 1000 | 1.2205 | 0.6643 |
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- | 0.2349 | 4.06 | 1100 | 1.2250 | 0.6638 |
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- | 0.1585 | 4.43 | 1200 | 1.3182 | 0.6656 |
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- | 0.1595 | 4.8 | 1300 | 1.3206 | 0.6641 |
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  ### Framework versions
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  - Transformers 4.32.0
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  - Pytorch 2.1.2
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  - Datasets 2.16.0
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- - Tokenizers 0.13.3
 
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  ---
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+ base_model: snunlp/KR-Medium
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  model-index:
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  - name: test_model
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  results: []
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # test_model
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+ This model is a fine-tuned version of [snunlp/KR-Medium](https://huggingface.co/snunlp/KR-Medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3382
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+ - Accuracy: 0.6372
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.0161 | 0.5 | 100 | 0.8929 | 0.6428 |
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+ | 0.8861 | 1.0 | 200 | 0.8755 | 0.6526 |
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+ | 0.6894 | 1.49 | 300 | 0.8906 | 0.6435 |
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+ | 0.6773 | 1.99 | 400 | 0.8928 | 0.6585 |
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+ | 0.4686 | 2.49 | 500 | 1.0231 | 0.6340 |
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+ | 0.4645 | 2.99 | 600 | 1.0166 | 0.6424 |
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+ | 0.295 | 3.48 | 700 | 1.1859 | 0.6351 |
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+ | 0.2764 | 3.98 | 800 | 1.2167 | 0.6368 |
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+ | 0.185 | 4.48 | 900 | 1.3204 | 0.6312 |
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+ | 0.1775 | 4.98 | 1000 | 1.3382 | 0.6372 |
 
 
 
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  ### Framework versions
 
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  - Transformers 4.32.0
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  - Pytorch 2.1.2
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  - Datasets 2.16.0
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+ - Tokenizers 0.13.3
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