camembert-base-finetuned-allocine

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

• Loss: 2.0900

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.5811	1.0	157	2.2112
2.2515	2.0	314	2.1171
2.2165	3.0	471	2.0784

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1
• Datasets 2.20.0
• Tokenizers 0.19.1