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IndicBARTSS_Kannada_FineTune – AI Model by Fathima-Firose | AlphaNeural AI
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Fathima-Firose
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IndicBARTSS_Kannada_FineTune
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
ai4bharat/IndicBARTSS
finetune
endpoints_compatible
us
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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
