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oakela
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finetune_starcoder2_nate_continue_600steps

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starcoder2
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sft
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oakela/finetuned_starcoder2_cleaned

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  1. README.md +57 -0
  2. config.json +30 -0
  3. final_checkpoint/config.json +30 -0
  4. final_checkpoint/generation_config.json +6 -0
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  15. runs/Mar15_15-22-44_2be0c5db6362/events.out.tfevents.1710516169.2be0c5db6362.745.0 +3 -0
  16. special_tokens_map.json +64 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +357 -0
  19. training_args.bin +3 -0
  20. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: bigcode-openrail-m
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+ base_model: bigcode/starcoder2-3b
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: finetune_starcoder2_cleaned
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+ results: []
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+ ---
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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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+
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+ # finetune_starcoder2_cleaned
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+
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+ This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 0
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 20
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+ - training_steps: 600
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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