venetis/distilbert-base-uncased-finetuned-3d-sentiment

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distilbert-base-uncased-finetuned-3d-sentiment

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6641
• —Accuracy: 0.7366
• —Precision: 0.7377
• —Recall: 0.7366
• —F1: 0.7364

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 12762
• —num_epochs: 7
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.1
• —Pytorch 1.13.1+cu117
• —Datasets 2.10.1
• —Tokenizers 0.13.3