Prasadrao/xlm-roberta-large-go-emotions-v3

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xlm-roberta-large-go-emotions-v3

This model is a fine-tuned version of Prasadrao/xlm-roberta-large-go-emotions-v2 on go emotion dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0953
• —Accuracy: 0.4534
• —Precision: 0.5400
• —Recall: 0.5187
• —F1: 0.5151

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: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.37.0
• —Pytorch 2.1.2
• —Datasets 2.15.0
• —Tokenizers 0.15.1