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IndicBART_xlsum_mr_e7 – AI Model by AmaanDhamaskar | AlphaNeural AI
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AmaanDhamaskar
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IndicBART_xlsum_mr_e7
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
AmaanDhamaskar/IndicBART-mr-test
finetune
endpoints_compatible
us
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IndicBART_xlsum_mr_e7
This model is a fine-tuned version of
AmaanDhamaskar/IndicBART-mr-test
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6918
Rouge1: 4.3766
Rouge2: 0.1468
Rougel: 4.3829
Rougelsum: 4.363
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: 5.6e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
3.0107
1.0
455
2.7100
4.5441
0.1468
4.5626
4.5203
2.9584
2.0
910
2.6976
4.3233
0.1346
4.3163
4.2576
2.9307
3.0
1365
2.6918
4.3766
0.1468
4.3829
4.363
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
