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idah4
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qa_kor_math

Text2Text Generation
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  1. README.md +18 -10
  2. model.safetensors +1 -1
  3. runs/Apr15_13-10-43_fa02c93dd5cc/events.out.tfevents.1713186645.fa02c93dd5cc.2726.5 +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2196
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  ## Model description
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@@ -34,26 +34,34 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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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  - lr_scheduler_warmup_steps: 400
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.63 | 100 | 0.6907 |
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- | No log | 1.26 | 200 | 0.3665 |
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- | No log | 1.89 | 300 | 0.3132 |
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- | No log | 2.52 | 400 | 0.2873 |
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- | 1.1333 | 3.14 | 500 | 0.2600 |
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- | 1.1333 | 3.77 | 600 | 0.2312 |
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- | 1.1333 | 4.4 | 700 | 0.2196 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2586
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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: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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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  - lr_scheduler_warmup_steps: 400
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.63 | 100 | 2.9907 |
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+ | No log | 1.26 | 200 | 0.9196 |
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+ | No log | 1.89 | 300 | 0.5858 |
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+ | No log | 2.52 | 400 | 0.4351 |
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+ | 2.4889 | 3.14 | 500 | 0.3693 |
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+ | 2.4889 | 3.77 | 600 | 0.3356 |
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+ | 2.4889 | 4.4 | 700 | 0.3182 |
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+ | 2.4889 | 5.03 | 800 | 0.3017 |
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+ | 2.4889 | 5.66 | 900 | 0.2949 |
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+ | 0.3483 | 6.29 | 1000 | 0.2798 |
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+ | 0.3483 | 6.92 | 1100 | 0.2748 |
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+ | 0.3483 | 7.55 | 1200 | 0.2695 |
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+ | 0.3483 | 8.18 | 1300 | 0.2649 |
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+ | 0.3483 | 8.81 | 1400 | 0.2610 |
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+ | 0.2753 | 9.43 | 1500 | 0.2586 |
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  ### Framework versions
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