KaiserWhoLearns
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README.md
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This is the model checkpoint release for Amuro \& Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models.
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All the fine-tuned model checkpoints are released in this repository. The naming convention of the revisions are `olmo1b_hf_{checkpoint}_{train_dataset}_{epoch}_{lr}`.
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To load a specific model checkpoint, use the following command.
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```
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model = AutoModelForCausalLM.from_pretrained(
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model_name_or_path="KaiserWhoLearns/PTvsSFT_OLMo1b",
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trust_remote_code=trust_remote_code,
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revision="your revision"
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)
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```
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All the checkpoints are fine-tuned based on the checkpoints of [OLMo1b-HF](https://huggingface.co/allenai/OLMo-1B-hf).
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Citation:
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```
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TODO
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```
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---
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license: apache-2.0
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