ali2066/finetuned_sentence_itr3_2e-05_webDiscourse_27_02_2022-18_59_05

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finetunedsentenceitr32e-05webDiscourse27022022-1859_05

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6049
• —Accuracy: 0.6926
• —F1: 0.4160

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: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.15.0
• —Pytorch 1.10.1+cu113
• —Datasets 1.18.0
• —Tokenizers 0.10.3