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--- |
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license: apache-2.0 |
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base_model: studio-ousia/luke-japanese-base-lite |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: out |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rspeech3399/huggingface/runs/a23y11m9) |
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# out |
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This model is a fine-tuned version of [studio-ousia/luke-japanese-base-lite](https://huggingface.co/studio-ousia/luke-japanese-base-lite) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2009 |
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- Accuracy: 0.9283 |
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- Precision: 0.9198 |
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- Recall: 0.9384 |
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- F1: 0.9290 |
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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: 5e-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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.316 | 1.0 | 1479 | 0.2245 | 0.9127 | 0.9027 | 0.9251 | 0.9138 | |
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| 0.1696 | 2.0 | 2958 | 0.1869 | 0.9308 | 0.9234 | 0.9395 | 0.9314 | |
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| 0.1427 | 3.0 | 4437 | 0.2009 | 0.9283 | 0.9198 | 0.9384 | 0.9290 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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