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VIITPune
/
praTran

Translation
Transformers
TensorBoard
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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  1. .gitattributes +35 -0
  2. README.md +75 -0
  3. added_tokens.json +102 -0
  4. config.json +37 -0
  5. generation_config.json +10 -0
  6. model.safetensors +3 -0
  7. prakrit_translation.csv +0 -0
  8. runs/Oct09_15-16-04_102ed41668e2/events.out.tfevents.1728486966.102ed41668e2.31.0 +3 -0
  9. sentencepiece.bpe.model +3 -0
  10. special_tokens_map.json +109 -0
  11. tokenizer_config.json +951 -0
  12. training_args.bin +3 -0
  13. vocab.json +0 -0
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/m2m100_418M
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ - meteor
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+ model-index:
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+ - name: M2M101
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+ results: []
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+ pipeline_tag: translation
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+ datasets:
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+ - sarch7040/Deshika
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+ ---
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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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+
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+ # praTran
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+
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+ This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on Deshika dataset which is a prallel corpus of Prakrit with their corresponding English Translations
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3269
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+ - Bleu: 8.4241
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+ - Meteor: 0.3851
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+ - Gen Len: 30.7356
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+
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+ ## Model Description
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+
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+ praTran is a finetuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) which was trained on a downstream task.
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+
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+ ## Intended uses
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+
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+ This model is intended to use for academic purposes.
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+
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+ ## Limitation
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+ The models translation is not that good at this current stage to the language being extremely low resource. Impro
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
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+ | No log | 1.0 | 74 | 4.9214 | 2.8147 | 0.2385 | 31.7864 |
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+ | No log | 2.0 | 148 | 3.1788 | 5.0267 | 0.3144 | 29.7695 |
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+ | No log | 3.0 | 222 | 2.0374 | 6.4844 | 0.3399 | 30.2237 |
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+ | No log | 4.0 | 296 | 1.4798 | 7.4708 | 0.3768 | 31.3932 |
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+ | No log | 5.0 | 370 | 1.3269 | 8.4241 | 0.3851 | 30.7356 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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