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End of training
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metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: sentence_sentiments_analysis_distilbert
    results: []

sentence_sentiments_analysis_distilbert

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

  • Loss: 0.2971
  • F1-score: 0.9014

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: 5

Training results

Training Loss Epoch Step Validation Loss F1-score
0.3084 1.0 2500 0.2971 0.9014
0.1955 2.0 5000 0.3453 0.9047
0.1105 3.0 7500 0.4980 0.9050
0.0373 4.0 10000 0.5760 0.9094
0.0179 5.0 12500 0.6682 0.9102

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3