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metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: tweet_sentiments_analysis_distilbert
    results: []

tweet_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: 0.6626
  • F1-score: 0.7326

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
0.7194 1.0 1000 0.6968 0.6919
0.5877 2.0 2000 0.6626 0.7326
0.4534 3.0 3000 0.8162 0.7333
0.2909 4.0 4000 1.0658 0.7436
0.2013 5.0 5000 1.3059 0.7409

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.0
  • Tokenizers 0.13.3