tags: | |
- generated_from_trainer | |
datasets: | |
- skript | |
model-index: | |
- name: bert-base-NER-reptile-5-datasets-finetuned-ner | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# bert-base-NER-reptile-5-datasets-finetuned-ner | |
This model is a fine-tuned version of [sberbank-ai/bert-base-NER-reptile-5-datasets](https://huggingface.co/sberbank-ai/bert-base-NER-reptile-5-datasets) on the skript dataset. | |
## 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: 1 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| No log | 1.0 | 298 | 0.4198 | 0.6385 | 0.5297 | 0.5790 | 0.8699 | | |
### Framework versions | |
- Transformers 4.20.1 | |
- Pytorch 1.12.0+cu113 | |
- Datasets 2.4.0 | |
- Tokenizers 0.12.1 | |