bikram22pi7 commited on
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Model save

Browse files
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+ ---
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+ license: mit
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+ base_model: microsoft/mdeberta-v3-base
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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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+ model-index:
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+ - name: mdeberta-v3-base-on-custom-kural-500
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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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+ # mdeberta-v3-base-on-custom-kural-500
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+
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+ This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4734
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+ - Accuracy: 0.7933
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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: 5e-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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+ - num_epochs: 10
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 11 | 0.5629 | 0.74 |
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+ | No log | 2.0 | 22 | 0.5678 | 0.74 |
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+ | No log | 3.0 | 33 | 0.5530 | 0.74 |
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+ | No log | 4.0 | 44 | 0.5046 | 0.74 |
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+ | No log | 5.0 | 55 | 0.5419 | 0.74 |
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+ | No log | 6.0 | 66 | 0.5136 | 0.74 |
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+ | No log | 7.0 | 77 | 0.5039 | 0.68 |
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+ | No log | 8.0 | 88 | 0.4751 | 0.82 |
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+ | No log | 9.0 | 99 | 0.4976 | 0.7733 |
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+ | No log | 10.0 | 110 | 0.4734 | 0.7933 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "_name_or_path": "microsoft/mdeberta-v3-base",
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+ "DebertaV2ForSequenceClassification"
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