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sanskrit-to-english
ubermenchh/sanskrit-to-english
sanskrit-to-english is a machine learning model from ubermenchh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023
- SHA
- 53f1b66f
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sanskrit-to-english
This model is a fine-tuned version of t5-small on the itihasa dataset. It achieves the following results on the evaluation set:
- Loss: 3.5134
- Bleu: 0.288
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.9554 | 1.0 | 4698 | 3.7250 | 0.3772 | 19.0 |
| 3.8183 | 2.0 | 9396 | 3.6050 | 0.3216 | 19.0 |
| 3.746 | 3.0 | 14094 | 3.5497 | 0.2743 | 19.0 |
| 3.7183 | 4.0 | 18792 | 3.5229 | 0.2787 | 19.0 |
| 3.7124 | 5.0 | 23490 | 3.5134 | 0.288 | 19.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023