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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- itihasa
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metrics:
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- bleu
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model-index:
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- name: my_sanskrit_model
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: itihasa
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type: itihasa
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config: Itihasa
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split: train
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args: Itihasa
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metrics:
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- name: Bleu
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type: bleu
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value: 0.2607
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# my_sanskrit_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the itihasa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5101
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- Bleu: 0.2607
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- Gen Len: 18.9973
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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| 3.9557 | 1.0 | 4698 | 3.7191 | 0.3291 | 18.9973 |
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| 3.8243 | 2.0 | 9396 | 3.6068 | 0.2728 | 18.9973 |
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| 3.7562 | 3.0 | 14094 | 3.5503 | 0.2911 | 18.9973 |
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| 3.7306 | 4.0 | 18792 | 3.5207 | 0.2404 | 18.9973 |
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| 3.7003 | 5.0 | 23490 | 3.5101 | 0.2607 | 18.9973 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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