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--- |
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license: mit |
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base_model: gogamza/kobart-base-v2 |
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tags: |
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- kobart-hashtag |
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- generated_from_trainer |
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model-index: |
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- name: modelling |
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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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should probably proofread and complete it, then remove this comment. --> |
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# modelling |
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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: 0.7086 |
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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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- learning_rate: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 300 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2628 | 1.23 | 500 | 0.6570 | |
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| 0.1678 | 2.47 | 1000 | 0.7086 | |
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| 0.1958 | 3.7 | 1500 | 0.7066 | |
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| 0.1283 | 4.94 | 2000 | 0.7354 | |
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| 0.0883 | 6.17 | 2500 | 0.7892 | |
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| 0.066 | 7.41 | 3000 | 0.8266 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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