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metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-base-multilingual-cased-finetuned-sentiment-albanian
    results: []

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