codemix-hi_enhi_4.8

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

• Loss: 3.2552
• Bleu: 13.9653
• Gen Len: 20.928

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: 1e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
4.4983	1.0	2787	3.8967	13.2892	20.959
3.9008	2.0	5574	3.5217	12.6416	20.963
3.7108	3.0	8361	3.3617	13.5284	20.973
3.6022	4.0	11148	3.2797	13.9418	20.933
3.5622	5.0	13935	3.2552	13.9653	20.928

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2