IndicBART_new_2

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

• Loss: 3.3218

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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.96	11	5.4424
No log	2.0	23	4.3784
No log	2.96	34	4.0395
No log	4.0	46	3.7066
No log	4.96	57	3.5332
No log	6.0	69	3.4435
No log	6.96	80	3.3687
No log	7.65	88	3.3218

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2