metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: camembert-ner-lr10e3
results: []
camembert-ner-lr10e3
This model is a fine-tuned version of Jean-Baptiste/camembert-ner on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5566
- Overall Precision: 0.0
- Overall Recall: 0.0
- Overall F1: 0.0
- Overall Accuracy: 0.8840
- Humanprod F1: 0.0
- Loc F1: 0.0
- Org F1: 0.0
- Per F1: 0.0
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: 0.002
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Humanprod F1 | Loc F1 | Org F1 | Per F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5473 | 1.0 | 613 | 0.5626 | 0.0 | 0.0 | 0.0 | 0.8840 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.5299 | 2.0 | 1226 | 0.5566 | 0.0 | 0.0 | 0.0 | 0.8840 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.1+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2