my_sanskrit_model

This model is a fine-tuned version of t5-small on the itihasa dataset. It achieves the following results on the evaluation set:

• Loss: 3.5101
• Bleu: 0.2607
• Gen Len: 18.9973

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.9557	1.0	4698	3.7191	0.3291	18.9973
3.8243	2.0	9396	3.6068	0.2728	18.9973
3.7562	3.0	14094	3.5503	0.2911	18.9973
3.7306	4.0	18792	3.5207	0.2404	18.9973
3.7003	5.0	23490	3.5101	0.2607	18.9973

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2