IndicBART-finetuned-mr-sum

This model is a fine-tuned version of october-sd/IndicBART-finetuned-mr-sum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1235

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.7407	1.0	1803	2.0960
1.6836	2.0	3606	2.1042
1.6393	3.0	5409	2.1098
1.6129	4.0	7212	2.1235

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2