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Update README.md

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  1. README.md +5 -5
README.md CHANGED
@@ -4,7 +4,7 @@ library_name: peft
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  tags:
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  - generated_from_trainer
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  datasets:
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- - fals3/methods2test_small
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  metrics:
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  - accuracy
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  base_model: bigcode/starcoder2-7b
@@ -15,8 +15,8 @@ model-index:
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  type: text-generation
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  name: Causal Language Modeling
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  dataset:
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- name: fals3/methods2test_small fm+fc+c+m+f+t+tc
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- type: fals3/methods2test_small
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  args: fm+fc+c+m+f+t+tc
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  metrics:
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  - type: accuracy
@@ -27,10 +27,10 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fals3/methods2test_small/runs/jpoa6lrq)
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  # output
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- This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b) on the fals3/methods2test_small fm+fc+c+m+f+t+tc dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6905
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  - Accuracy: 0.7203
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - andstor/methods2test_small
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  metrics:
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  - accuracy
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  base_model: bigcode/starcoder2-7b
 
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  type: text-generation
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  name: Causal Language Modeling
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  dataset:
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+ name: andstor/methods2test_small fm+fc+c+m+f+t+tc
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+ type: andstor/methods2test_small
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  args: fm+fc+c+m+f+t+tc
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  metrics:
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  - type: accuracy
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/andstor/methods2test_small/runs/jpoa6lrq)
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  # output
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+ This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b) on the andstor/methods2test_small fm+fc+c+m+f+t+tc dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6905
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  - Accuracy: 0.7203