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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: rubert-base-srl |
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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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# rubert-base-srl |
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This model is a fine-tuned version of [./ruBert-base/](https://huggingface.co/./ruBert-base/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2429 |
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- F1: 0.9563 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.5816 | 1.0 | 57 | 0.3865 | 0.8371 | |
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| 0.3685 | 2.0 | 114 | 0.1707 | 0.9325 | |
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| 0.1057 | 3.0 | 171 | 0.0972 | 0.9563 | |
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| 0.0964 | 4.0 | 228 | 0.1429 | 0.9775 | |
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| 0.1789 | 5.0 | 285 | 0.2493 | 0.9457 | |
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| 0.0016 | 6.0 | 342 | 0.1900 | 0.6349 | |
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| 0.0013 | 7.0 | 399 | 0.2060 | 0.9563 | |
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| 0.0008 | 8.0 | 456 | 0.2321 | 0.9563 | |
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| 0.0006 | 9.0 | 513 | 0.2412 | 0.9563 | |
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| 0.0006 | 10.0 | 570 | 0.2429 | 0.9563 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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