IIIT-L/hing-roberta-finetuned-code-mixed-DS

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hing-roberta-finetuned-code-mixed-DS

This model is a fine-tuned version of l3cube-pune/hing-roberta on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8512
• —Accuracy: 0.7706
• —Precision: 0.7217
• —Recall: 0.7233
• —F1: 0.7222

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: 4.932923543227153e-05
• —trainbatchsize: 8
• —evalbatchsize: 16
• —seed: 43
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.10.1+cu111
• —Datasets 2.3.2
• —Tokenizers 0.12.1