update model card README.md
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README.md
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---
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base_model: ./clip-roberta
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tags:
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- generated_from_trainer
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datasets:
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- MP
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model-index:
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- name: clip-roberta-finetuned
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results: []
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# clip-roberta-finetuned
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This model
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It achieves the following results on the evaluation set:
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- Loss: 1.7826
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## Model description
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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:
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- eval_batch_size:
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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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---
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tags:
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- generated_from_trainer
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model-index:
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- name: clip-roberta-finetuned
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results: []
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# clip-roberta-finetuned
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This model was trained from scratch on the None dataset.
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## Model description
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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: 64
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- eval_batch_size: 64
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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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