camembert_base_finetunned_one_thema_balanced_8_epochs

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

• Loss: 1.7441

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	116	2.2815
No log	2.0	232	2.0439
No log	3.0	348	1.8168
No log	4.0	464	1.7957
1.9473	5.0	580	1.7536
1.9473	6.0	696	1.6857
1.9473	7.0	812	1.7473
1.9473	8.0	928	1.7441

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3