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README.md
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tags:
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- generated_from_trainer
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datasets:
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-
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metrics:
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- accuracy
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model-index:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name:
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type:
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args: fm+fc+c+m+f+t+tc
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metrics:
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- name: 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/
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# output
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This model is a fine-tuned version of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.6457
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- Accuracy: 0.5612
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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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model-index:
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name: Causal Language Modeling
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type: text-generation
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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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- name: 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/81u023ks)
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# output
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This model is a fine-tuned version of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) 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: 0.6457
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- Accuracy: 0.5612
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