IIIT-L/indic-bert-finetuned-non-code-mixed-DS

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indic-bert-finetuned-non-code-mixed-DS

This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9997
• —Accuracy: 0.5620
• —Precision: 0.5591
• —Recall: 0.5203
• —F1: 0.5078

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-06
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 43
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

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