metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: 6_epochs_camembert
results: []
6_epochs_camembert
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:
- eval_loss: 0.0932
- eval_overall_precision: 0.8072
- eval_overall_recall: 0.8431
- eval_overall_f1: 0.8248
- eval_overall_accuracy: 0.9778
- eval_ER_f1: 0.8520
- eval_OC_f1: 0.8029
- eval_umanProd_f1: 0.6333
- eval_runtime: 120.9649
- eval_samples_per_second: 20.246
- eval_steps_per_second: 1.273
- epoch: 6.0
- step: 3678
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: 6
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2