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