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@@ -461,34 +461,35 @@ model-index:
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  - task:
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  type: text-generation
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  dataset:
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- name: STS
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- type: STS
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  metrics:
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- - name: 0-shot
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  type: spearman
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  value: 77.38
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- - name: 1-shot
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  type: spearman
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  value: 79.28
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- - name: 3-shot
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  type: spearman
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  value: 78.75
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  - task:
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  type: text-generation
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  dataset:
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- name: STS
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- type: STS
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  metrics:
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- - name: 0-shot
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  type: pearson
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  value: 77.10
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- - name: 1-shot
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  type: pearson
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  value: 77.70
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- - name: 3-shot
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  type: pearson
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  value: 76.91
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  ---
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  # Model Card for Model ID
@@ -545,8 +546,8 @@ Use the code below to get started with the model.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoMistral-7b-Instruct-2024-05-17")
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- model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoMistral-7b-Instruct-2024-05-17")
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  instruction = "Ce jocuri de societate pot juca cu prietenii mei?"
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  chat = [
 
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  - task:
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  type: text-generation
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  dataset:
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+ name: STS_Spearman
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+ type: STS_Spearman
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  metrics:
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+ - name: 1-shot
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  type: spearman
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  value: 77.38
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+ - name: 3-shot
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  type: spearman
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  value: 79.28
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+ - name: 5-shot
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  type: spearman
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  value: 78.75
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  - task:
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  type: text-generation
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  dataset:
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+ name: STS_Pearson
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+ type: STS_Pearson
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  metrics:
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+ - name: 1-shot
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  type: pearson
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  value: 77.10
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+ - name: 3-shot
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  type: pearson
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  value: 77.70
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+ - name: 5-shot
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  type: pearson
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  value: 76.91
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+
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  ---
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  # Model Card for Model ID
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09")
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+ model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoMistral-7b-Instruct-2024-10-09")
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  instruction = "Ce jocuri de societate pot juca cu prietenii mei?"
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  chat = [