README.md

metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - itihasa
metrics:
  - bleu
model-index:
  - name: sanskrit-english-model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: itihasa
          type: itihasa
          config: Itihasa
          split: test
          args: Itihasa
        metrics:
          - name: Bleu
            type: bleu
            value: 0.3733

sanskrit-english-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: 3.7022
• Bleu: 0.3733
• Gen Len: 19.0

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.9891	1.0	4698	3.7609	0.3838	19.0
3.9079	2.0	9396	3.7022	0.3733	19.0

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1