fine_tuned_model

This model is a fine-tuned version of ai4bharat/indicbart on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 6.4082

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
11.0414	1.0	11	10.4768
10.5361	2.0	22	9.6812
10.0148	3.0	33	8.9731
9.3895	4.0	44	8.7481
8.9148	5.0	55	8.3119
8.6222	6.0	66	8.0413
8.3471	7.0	77	7.7988
8.1107	8.0	88	7.6168
7.9351	9.0	99	7.4008
7.5972	10.0	110	7.1992
7.4541	11.0	121	7.0545
7.3436	12.0	132	6.9558
7.2126	13.0	143	6.8006
7.1090	14.0	154	6.6990
7.0149	15.0	165	6.6203
6.9819	16.0	176	6.5532
6.8978	17.0	187	6.4716
6.8420	18.0	198	6.4320
6.7765	19.0	209	6.4127
6.7872	20.0	220	6.4082

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2