File size: 1,819 Bytes
e7ee8bc 9205818 e7ee8bc d97cc20 e7ee8bc 9205818 e7ee8bc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: mschiesser/ner-bert-german
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ner-bert-german-addresses-finetuned
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. -->
# ner-bert-german-addresses-finetuned
This model is a fine-tuned version of [mschiesser/ner-bert-german](https://huggingface.co/mschiesser/ner-bert-german) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:---:|:--------:|
| 0.0 | 1.0 | 37824 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0 | 2.0 | 75648 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0 | 3.0 | 113472 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.15.2
|