distilbert-base-multilingual-cased-finetuned-cases

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

• Loss: 2.6181

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
2.8246	1.0	7	2.6741
2.5295	2.0	14	2.3980
2.4329	3.0	21	2.2477

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2