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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: distilbert-base-multilingual-cased-indic_glue |
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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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# distilbert-base-multilingual-cased-indic_glue |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2873 |
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- Precision: 0.8099 |
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- Recall: 0.8251 |
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- F1: 0.8175 |
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- Accuracy: 0.9114 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.6012 | 0.31 | 200 | 0.3849 | 0.7566 | 0.7108 | 0.7330 | 0.8722 | |
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| 0.377 | 0.62 | 400 | 0.3365 | 0.7696 | 0.7837 | 0.7766 | 0.8886 | |
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| 0.3205 | 0.94 | 600 | 0.3093 | 0.7875 | 0.7864 | 0.7869 | 0.8961 | |
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| 0.2517 | 1.25 | 800 | 0.3050 | 0.8039 | 0.8131 | 0.8085 | 0.9050 | |
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| 0.2034 | 1.56 | 1000 | 0.2950 | 0.8129 | 0.8130 | 0.8130 | 0.9098 | |
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| 0.1968 | 1.88 | 1200 | 0.2873 | 0.8099 | 0.8251 | 0.8175 | 0.9114 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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