ali2066/twitter_RoBERTa_base_sentence_itr0_1e-05_all_01_03_2022-13_53_11

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twitterRoBERTabasesentenceitr01e-05all01032022-1353_11

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4118
• —Accuracy: 0.8446
• —F1: 0.8968
• —Precision: 0.8740
• —Recall: 0.9207

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: 1e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —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