README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - itihasa
metrics:
  - bleu
model-index:
  - name: my_sanskrit_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: itihasa
          type: itihasa
          config: Itihasa
          split: train
          args: Itihasa
        metrics:
          - name: Bleu
            type: bleu
            value: 0.2607

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