distilbert-base-uncased_emotion_cls_20240808

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distilbert-base-uncased_emotion_cls_20240808

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

• Loss: 0.1480
• Accuracy: 0.9345
• F1: 0.9345
• Precision: 0.9081

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: 4

Training results

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1