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IndicBARTSS_Kannada_FineTune

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metadata
library_name: transformers
base_model: ai4bharat/IndicBARTSS
tags:
  - generated_from_trainer
model-index:
  - name: IndicBARTSS_Kannada_FineTune
    results: []

IndicBARTSS_Kannada_FineTune

This model is a fine-tuned version of ai4bharat/IndicBARTSS on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1158

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.1202 1.0 2674 0.1208
0.1196 2.0 5348 0.1175
0.1147 3.0 8022 0.1158

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1