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README.md ADDED
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+ ---
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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: deberta-large_lemon_5k_4_p3
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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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+ # deberta-large_lemon_5k_4_p3
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+
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+ This model is a fine-tuned version of [model_saves/deberta-large_lemon_5k_4_p2](https://huggingface.co/model_saves/deberta-large_lemon_5k_4_p2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4267
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+ - Accuracy: 0.9416
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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: 1e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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+ - seed: 72
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+ - distributed_type: multi-GPU
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - num_epochs: 15.0
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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 | 268 | 0.4267 | 0.9416 |
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+ | No log | 2.0 | 536 | 0.4596 | 0.9403 |
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+ | No log | 3.0 | 804 | 0.5083 | 0.9401 |
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+ | 0.2208 | 4.0 | 1072 | 0.5562 | 0.9394 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.0.dev0
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1
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