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README.md
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- axolotl
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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- path: CodeGPTPlus/typescript-0-500000-seq1024
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type: completion
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field: text
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#dataset_prepared_path:
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#pretraining_dataset: CodeGPTPlus/typescript-0-500000-seq1024
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val_set_size: 0.001
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output_dir: ./fft-out
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gradient_accumulation_steps: 2
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micro_batch_size: 20
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num_epochs: 1
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#max_steps: 1 # REMOVE IT
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optimizer: adamw_bnb_8bit
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adam_beta1: 0.9
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adam_beta2: 0.999
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bos_token: "<|begin▁of▁sentence|>"
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eos_token: "<|end▁of▁sentence|>"
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pad_token: "<|end▁of▁sentence|>"
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# fim_prefix: "<|fim▁begin|>"
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# fim_middle: "<|fim▁hole|>"
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# fim_suffix: "<|fim▁end|>"
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```
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</details><br>
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#
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.7681
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- axolotl
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- generated_from_trainer
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model-index:
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- name: deepseek-coder-1.3b-typescript
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results: []
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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- path: CodeGPTPlus/typescript-0-500000-seq1024
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type: completion
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field: text
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val_set_size: 0.001
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output_dir: ./fft-out
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gradient_accumulation_steps: 2
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micro_batch_size: 20
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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adam_beta1: 0.9
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adam_beta2: 0.999
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bos_token: "<|begin▁of▁sentence|>"
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eos_token: "<|end▁of▁sentence|>"
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pad_token: "<|end▁of▁sentence|>"
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```
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</details><br>
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# deepseek-coder-1.3b-typescript
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the the-stack dataset, using 0.5B of tokens of typescript only.
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It achieves the following results on the evaluation set:
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- Loss: 0.7681
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