Kerem P
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Model save
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- model.safetensors +1 -1
README.md
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: opus-em-deberta-3-large-v2
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results: []
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# opus-em-deberta-3-large-v2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 19.5558
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- F1: 0.1942
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## Model description
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- total_eval_batch_size: 64
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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:
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### Training results
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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model-index:
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- name: opus-em-deberta-3-large-v2
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results: []
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# opus-em-deberta-3-large-v2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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## Model description
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- total_eval_batch_size: 64
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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: 10.0
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### Training results
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model.safetensors
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