camembert-base-finetuned-RAW20-dd

This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4309
• Precision: 0.8706
• Recall: 0.8429
• F1: 0.8565
• Accuracy: 0.9926

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.136	1.0	9942	0.4309	0.8706	0.8429	0.8565	0.9926

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1