distilbert-base-multilingual-cased-finetuned-sentiment-albanian

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: 0.3126
• F1-score: : 0.9393
• Accuracy score: : 0.8902

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

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score:	Accuracy score:
0.3698	1.0	149	0.3424	0.9290	0.8675
0.2995	2.0	298	0.3174	0.9362	0.8822
0.251	3.0	447	0.3126	0.9393	0.8902

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3