nilamgaichor/text_classification_senti_analysis

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textclassificationsenti_analysis

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

• —Loss: 0.1275
• —Accuracy: 0.9674

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: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.8.0
• —Datasets 4.5.0
• —Tokenizers 0.22.2