camembert_classification_tools_fr

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

• Loss: 1.1971
• Accuracy: 0.8

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: 0.0001
• train_batch_size: 24
• eval_batch_size: 192
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	5	1.9901	0.45
No log	2.0	10	1.8450	0.525
No log	3.0	15	1.6934	0.625
No log	4.0	20	1.5597	0.65
No log	5.0	25	1.4364	0.775
No log	6.0	30	1.3490	0.825
No log	7.0	35	1.2849	0.825
No log	8.0	40	1.2342	0.85
No log	9.0	45	1.2078	0.8
No log	10.0	50	1.1971	0.8

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.1