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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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: sanskrit-to-english |
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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: test |
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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: 0.288 |
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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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# sanskrit-to-english |
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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: 3.5134 |
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- Bleu: 0.288 |
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- Gen Len: 19.0 |
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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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| 3.9554 | 1.0 | 4698 | 3.7250 | 0.3772 | 19.0 | |
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| 3.8183 | 2.0 | 9396 | 3.6050 | 0.3216 | 19.0 | |
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| 3.746 | 3.0 | 14094 | 3.5497 | 0.2743 | 19.0 | |
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| 3.7183 | 4.0 | 18792 | 3.5229 | 0.2787 | 19.0 | |
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| 3.7124 | 5.0 | 23490 | 3.5134 | 0.288 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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