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--- |
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base_model: DeepPavlov/bert-base-bg-cs-pl-ru-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: damage_trigger_effect_2023-12-18_15_20 |
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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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# damage_trigger_effect_2023-12-18_15_20 |
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This model is a fine-tuned version of [DeepPavlov/bert-base-bg-cs-pl-ru-cased](https://huggingface.co/DeepPavlov/bert-base-bg-cs-pl-ru-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5807 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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- F1: 0.0 |
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- Accuracy: 0.8588 |
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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: 2e-05 |
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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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- 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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
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| No log | 1.0 | 34 | 0.5744 | 0.0 | 0.0 | 0.0 | 0.8099 | |
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| No log | 2.0 | 68 | 0.4567 | 0.0 | 0.0 | 0.0 | 0.8393 | |
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| No log | 3.0 | 102 | 0.4566 | 0.0 | 0.0 | 0.0 | 0.8474 | |
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| No log | 4.0 | 136 | 0.4308 | 0.0 | 0.0 | 0.0 | 0.8585 | |
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| No log | 5.0 | 170 | 0.4606 | 0.0 | 0.0 | 0.0 | 0.8422 | |
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| No log | 6.0 | 204 | 0.4777 | 0.0 | 0.0 | 0.0 | 0.8510 | |
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| No log | 7.0 | 238 | 0.4681 | 0.0 | 0.0 | 0.0 | 0.8569 | |
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| No log | 8.0 | 272 | 0.5150 | 0.0 | 0.0 | 0.0 | 0.8523 | |
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| No log | 9.0 | 306 | 0.4945 | 0.0 | 0.0 | 0.0 | 0.8650 | |
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| No log | 10.0 | 340 | 0.5582 | 0.0 | 0.0 | 0.0 | 0.8533 | |
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| No log | 11.0 | 374 | 0.5274 | 0.0 | 0.0 | 0.0 | 0.8591 | |
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| No log | 12.0 | 408 | 0.5547 | 0.0 | 0.0 | 0.0 | 0.8595 | |
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| No log | 13.0 | 442 | 0.5707 | 0.0 | 0.0 | 0.0 | 0.8598 | |
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| No log | 14.0 | 476 | 0.5814 | 0.0 | 0.0 | 0.0 | 0.8549 | |
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| 0.2474 | 15.0 | 510 | 0.5807 | 0.0 | 0.0 | 0.0 | 0.8588 | |
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### Framework versions |
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- Transformers 4.36.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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