End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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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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- ontonotes5
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model-index:
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- name: luke-base_on5
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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_on5
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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 ontonotes5 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0732
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- F1-type-match: 0.4835
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- F1-partial: 0.4930
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- F1-strict: 0.4695
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- F1-exact: 0.4832
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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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| 0.0756 | 1.0 | 936 | 0.0644 | 0.3975 | 0.4054 | 0.3800 | 0.3941 |
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| 0.0508 | 2.0 | 1873 | 0.0589 | 0.6196 | 0.6313 | 0.5967 | 0.6158 |
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| 0.0347 | 3.0 | 2809 | 0.0664 | 0.4686 | 0.4772 | 0.4530 | 0.4665 |
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| 0.0243 | 4.0 | 3746 | 0.0677 | 0.3951 | 0.4033 | 0.3830 | 0.3948 |
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| 0.0166 | 5.0 | 4680 | 0.0732 | 0.4835 | 0.4930 | 0.4695 | 0.4832 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1095792956
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