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---
base_model: DeepPavlov/bert-base-bg-cs-pl-ru-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: damage_trigger_effect_2023-12-18_15_20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# damage_trigger_effect_2023-12-18_15_20
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.
It achieves the following results on the evaluation set:
- Loss: 0.5807
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.8588
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log | 1.0 | 34 | 0.5744 | 0.0 | 0.0 | 0.0 | 0.8099 |
| No log | 2.0 | 68 | 0.4567 | 0.0 | 0.0 | 0.0 | 0.8393 |
| No log | 3.0 | 102 | 0.4566 | 0.0 | 0.0 | 0.0 | 0.8474 |
| No log | 4.0 | 136 | 0.4308 | 0.0 | 0.0 | 0.0 | 0.8585 |
| No log | 5.0 | 170 | 0.4606 | 0.0 | 0.0 | 0.0 | 0.8422 |
| No log | 6.0 | 204 | 0.4777 | 0.0 | 0.0 | 0.0 | 0.8510 |
| No log | 7.0 | 238 | 0.4681 | 0.0 | 0.0 | 0.0 | 0.8569 |
| No log | 8.0 | 272 | 0.5150 | 0.0 | 0.0 | 0.0 | 0.8523 |
| No log | 9.0 | 306 | 0.4945 | 0.0 | 0.0 | 0.0 | 0.8650 |
| No log | 10.0 | 340 | 0.5582 | 0.0 | 0.0 | 0.0 | 0.8533 |
| No log | 11.0 | 374 | 0.5274 | 0.0 | 0.0 | 0.0 | 0.8591 |
| No log | 12.0 | 408 | 0.5547 | 0.0 | 0.0 | 0.0 | 0.8595 |
| No log | 13.0 | 442 | 0.5707 | 0.0 | 0.0 | 0.0 | 0.8598 |
| No log | 14.0 | 476 | 0.5814 | 0.0 | 0.0 | 0.0 | 0.8549 |
| 0.2474 | 15.0 | 510 | 0.5807 | 0.0 | 0.0 | 0.0 | 0.8588 |
### Framework versions
- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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