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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-4.0
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+ base_model: l3cube-pune/indic-sentence-bert-nli
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: indic-sentence-bert-nli-roman-urdu-binary
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+ results: []
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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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+ # indic-sentence-bert-nli-roman-urdu-binary
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+
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+ This model is a fine-tuned version of [l3cube-pune/indic-sentence-bert-nli](https://huggingface.co/l3cube-pune/indic-sentence-bert-nli) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4274
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+ - Accuracy: 0.8852
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+ - Precision: 0.8845
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+ - Recall: 0.8859
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+ - F1: 0.8849
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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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: 32
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+ - eval_batch_size: 128
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.6197 | 0.9912 | 56 | 0.5759 | 0.8414 | 0.8449 | 0.8375 | 0.8393 |
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+ | 0.4974 | 2.0 | 113 | 0.4997 | 0.8452 | 0.8517 | 0.8501 | 0.8452 |
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+ | 0.4404 | 2.9912 | 169 | 0.4445 | 0.8714 | 0.8711 | 0.8704 | 0.8707 |
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+ | 0.4106 | 4.0 | 226 | 0.4246 | 0.8664 | 0.8657 | 0.8660 | 0.8659 |
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+ | 0.392 | 4.9558 | 280 | 0.4196 | 0.8664 | 0.8664 | 0.8681 | 0.8663 |
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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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