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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: madatnlp/rob-large-krmath2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# madatnlp/rob-large-krmath2 |
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0707 |
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- Validation Loss: 0.2571 |
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- Epoch: 17 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 1.7479 | 1.5215 | 0 | |
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| 1.1286 | 0.7513 | 1 | |
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| 1.2498 | 0.9242 | 2 | |
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| 1.0213 | 0.7140 | 3 | |
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| 0.8002 | 0.6080 | 4 | |
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| 0.5895 | 0.3721 | 5 | |
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| 0.4699 | 0.3392 | 6 | |
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| 0.3064 | 0.2599 | 7 | |
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| 0.2803 | 0.2360 | 8 | |
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| 0.2162 | 0.3075 | 9 | |
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| 0.1878 | 0.2652 | 10 | |
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| 0.1635 | 0.1618 | 11 | |
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| 0.1342 | 0.1061 | 12 | |
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| 0.1058 | 0.2906 | 13 | |
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| 0.0869 | 0.3535 | 14 | |
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| 0.0704 | 0.2090 | 15 | |
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| 0.0608 | 0.1777 | 16 | |
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| 0.0707 | 0.2571 | 17 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.2 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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