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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: rubert-tiny2-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-tiny2-srl |
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.4175 |
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- eval_Benefactive_precision: 0.0 |
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- eval_Benefactive_recall: 0.0 |
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- eval_Benefactive_f1: 0.0 |
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- eval_Benefactive_number: 5 |
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- eval_Causator_precision: 0.0 |
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- eval_Causator_recall: 0.0 |
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- eval_Causator_f1: 0.0 |
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- eval_Causator_number: 26 |
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- eval_Cause_precision: 0.0 |
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- eval_Cause_recall: 0.0 |
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- eval_Cause_f1: 0.0 |
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- eval_Cause_number: 21 |
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- eval_ContrSubject_precision: 0.0 |
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- eval_ContrSubject_recall: 0.0 |
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- eval_ContrSubject_f1: 0.0 |
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- eval_ContrSubject_number: 19 |
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- eval_Deliberative_precision: 0.0 |
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- eval_Deliberative_recall: 0.0 |
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- eval_Deliberative_f1: 0.0 |
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- eval_Deliberative_number: 10 |
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- eval_Experiencer_precision: 0.5512 |
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- eval_Experiencer_recall: 0.4321 |
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- eval_Experiencer_f1: 0.4844 |
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- eval_Experiencer_number: 162 |
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- eval_Object_precision: 0.6905 |
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- eval_Object_recall: 0.0963 |
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- eval_Object_f1: 0.1691 |
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- eval_Object_number: 301 |
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- eval_Predicate_precision: 0.9360 |
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- eval_Predicate_recall: 0.9737 |
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- eval_Predicate_f1: 0.9545 |
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- eval_Predicate_number: 571 |
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- eval_overall_precision: 0.8585 |
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- eval_overall_recall: 0.5874 |
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- eval_overall_f1: 0.6976 |
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- eval_overall_accuracy: 0.8855 |
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- eval_runtime: 1.6021 |
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- eval_samples_per_second: 355.786 |
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- eval_steps_per_second: 355.786 |
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- epoch: 1.0 |
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- step: 4864 |
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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: 1.1643470912014148e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 163748 |
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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_ratio: 0.28 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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