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--- |
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library_name: transformers |
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license: mit |
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base_model: ai4bharat/indictrans2-en-indic-dist-200M |
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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: tmp-test-indictrans |
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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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# tmp-test-indictrans |
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This model is a fine-tuned version of [ai4bharat/indictrans2-en-indic-dist-200M](https://huggingface.co/ai4bharat/indictrans2-en-indic-dist-200M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.7067 |
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- Bleu: 26.3133 |
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- Chrf: 53.2344 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use 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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- training_steps: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 7.0819 | 0.4 | 20 | 7.0516 | 25.3893 | 52.3501 | |
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| 6.3118 | 0.8 | 40 | 6.7067 | 26.3133 | 53.2344 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
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