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--- |
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license: bigcode-openrail-m |
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base_model: bigcode/starcoder |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: peft-lora-starcoder-personal-copilot-A100-40GB-colab |
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results: [] |
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library_name: peft |
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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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# peft-lora-starcoder-personal-copilot-A100-40GB-colab |
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This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3627 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Training hyperparameters |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.66 | 0.05 | 100 | 0.5844 | |
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| 0.6223 | 0.1 | 200 | 0.5280 | |
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| 0.6601 | 0.15 | 300 | 0.4819 | |
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| 0.5526 | 0.2 | 400 | 0.4617 | |
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| 0.485 | 0.25 | 500 | 0.4593 | |
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| 0.5239 | 0.3 | 600 | 0.4492 | |
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| 0.489 | 0.35 | 700 | 0.4371 | |
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| 0.5582 | 0.4 | 800 | 0.4362 | |
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| 0.4688 | 0.45 | 900 | 0.4314 | |
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| 0.5415 | 0.5 | 1000 | 0.4227 | |
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| 0.5152 | 0.55 | 1100 | 0.4121 | |
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| 0.5243 | 0.6 | 1200 | 0.3967 | |
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| 0.414 | 0.65 | 1300 | 0.3954 | |
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| 0.557 | 0.7 | 1400 | 0.3926 | |
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| 0.4144 | 0.75 | 1500 | 0.3911 | |
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| 0.7935 | 0.8 | 1600 | 0.3896 | |
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| 0.4129 | 0.85 | 1700 | 0.3866 | |
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| 0.4549 | 0.9 | 1800 | 0.3877 | |
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| 0.3903 | 0.95 | 1900 | 0.3781 | |
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| 0.4945 | 1.0 | 2000 | 0.3627 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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