Kerem P
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Model save
Browse files- README.md +0 -5
- model.safetensors +1 -1
- tokenizer.json +16 -2
- training_args.bin +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: 10.0020
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- F1: 0.1942
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## Model description
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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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model.safetensors
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tokenizer.json
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{
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"truncation":
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": {
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"strategy": {
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"Fixed": 512
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"direction": "Right",
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training_args.bin
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