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---
license: apache-2.0
base_model: Dr-BERT/DrBERT-7GB
tags:
- generated_from_trainer
datasets:
- quaero
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: drbert-7gb-finedtuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: quaero
type: quaero
config: emea
split: validation
args: emea
metrics:
- name: Precision
type: precision
value: 0.7103274559193955
- name: Recall
type: recall
value: 0.7359081419624217
- name: F1
type: f1
value: 0.7228915662650602
- name: Accuracy
type: accuracy
value: 0.9223586595037094
---
<!-- 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. -->
# drbert-7gb-finedtuned-ner
This model is a fine-tuned version of [Dr-BERT/DrBERT-7GB](https://huggingface.co/Dr-BERT/DrBERT-7GB) on the quaero dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3775
- Precision: 0.7103
- Recall: 0.7359
- F1: 0.7229
- Accuracy: 0.9224
## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 61 | 0.3947 | 0.7117 | 0.6905 | 0.7009 | 0.9198 |
| No log | 2.0 | 122 | 0.3738 | 0.7210 | 0.7244 | 0.7227 | 0.9224 |
| No log | 3.0 | 183 | 0.3775 | 0.7103 | 0.7359 | 0.7229 | 0.9224 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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