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--- |
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license: apache-2.0 |
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base_model: studio-ousia/luke-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- conll2003 |
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model-index: |
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- name: luke-base_finetuned_conll2003 |
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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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# luke-base_finetuned_conll2003 |
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This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on the conll2003 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0959 |
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- F1-type-match: 0.7530 |
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- F1-partial: 0.7885 |
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- F1-strict: 0.7477 |
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- F1-exact: 0.7828 |
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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: 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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-type-match | F1-partial | F1-strict | F1-exact | |
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|:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:---------:|:--------:| |
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| No log | 1.0 | 219 | 0.0796 | 0.3002 | 0.3178 | 0.2969 | 0.3146 | |
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| 0.1554 | 2.0 | 439 | 0.0724 | 0.3889 | 0.4078 | 0.3859 | 0.4048 | |
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| 0.0256 | 3.0 | 658 | 0.0832 | 0.5340 | 0.5610 | 0.5300 | 0.5568 | |
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| 0.0124 | 4.0 | 878 | 0.0918 | 0.6875 | 0.7207 | 0.6826 | 0.7156 | |
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| 0.0062 | 4.99 | 1095 | 0.0959 | 0.7530 | 0.7885 | 0.7477 | 0.7828 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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