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test_model

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

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  1. README.md +21 -16
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- base_model: kykim/bert-kor-base
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +15,10 @@ 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 [kykim/bert-kor-base](https://huggingface.co/kykim/bert-kor-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8679
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- - Accuracy: 0.8696
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 6e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6346 | 0.55 | 100 | 0.5654 | 0.8168 |
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- | 0.4796 | 1.1 | 200 | 0.4995 | 0.8370 |
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- | 0.3232 | 1.65 | 300 | 0.4617 | 0.8478 |
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- | 0.2712 | 2.2 | 400 | 0.5025 | 0.8602 |
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- | 0.2023 | 2.75 | 500 | 0.4676 | 0.8696 |
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- | 0.1505 | 3.3 | 600 | 0.6037 | 0.8665 |
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- | 0.129 | 3.85 | 700 | 0.5867 | 0.8680 |
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- | 0.0731 | 4.4 | 800 | 0.7243 | 0.8711 |
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- | 0.0659 | 4.95 | 900 | 0.8679 | 0.8696 |
 
 
 
 
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  ### Framework versions
 
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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:
 
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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 hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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