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--- |
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library_name: transformers |
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base_model: ai4bharat/IndicBART |
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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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model-index: |
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- name: codemix-test |
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results: [] |
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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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# codemix-test |
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This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5032 |
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- Bleu: 17.4363 |
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- Gen Len: 20.978 |
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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: 1e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 5.8666 | 1.0 | 1004 | 4.9742 | 13.3823 | 21.0 | |
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| 4.8088 | 2.0 | 2008 | 4.0212 | 15.3375 | 21.0 | |
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| 4.2735 | 3.0 | 3012 | 3.6499 | 16.3145 | 21.0 | |
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| 4.0836 | 4.0 | 4016 | 3.5329 | 17.3835 | 20.996 | |
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| 4.0152 | 5.0 | 5020 | 3.5032 | 17.4363 | 20.978 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
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