camembert-base-finetuned-LineCause

This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001
• Accuracy: 1.0
• F1: 1.0
• Recall: 1.0

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: 2e-05
• train_batch_size: 50
• eval_batch_size: 50
• 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	Accuracy	F1	Recall
0.0428	1.0	4409	0.0002	1.0	1.0	1.0
0.0009	2.0	8818	0.0001	1.0	1.0	1.0

Framework versions

• Transformers 4.19.3
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1