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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_v2 |
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model-index: |
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- name: indic-mALBERT-uncased |
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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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# indic-mALBERT-uncased |
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This model is a uncased fine-tuned version of [indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the squad_v2 dataset. |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 814 |
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- num_epochs: 5.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Key | Value | |
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|-------------------------|------------------------| |
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| epoch | 5.0 | |
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| eval_HasAns_exact | 53.54251012145749 | |
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| eval_HasAns_f1 | 63.501893668646716 | |
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| eval_HasAns_total | 5928 | |
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| eval_NoAns_exact | 75.10513036164845 | |
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| eval_NoAns_f1 | 75.10513036164845 | |
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| eval_NoAns_total | 5945 | |
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| eval_exact | 64.3392571380443 | |
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| eval_f1 | 69.31181888888594 | |
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| eval_runtime | 69.5054 | |
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| eval_samples | 12000 | |
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| eval_samples_per_second | 172.649 | |
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| eval_steps_per_second | 5.395 | |
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| eval_total | 11873 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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