End of training
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README.md
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---
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library_name: peft
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license: bigcode-openrail-m
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base_model: bigcode/starcoderbase-1b
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tags:
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- generated_from_trainer
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model-index:
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- name: peft-starcoder-lora-a100
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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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# peft-starcoder-lora-a100
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.0495
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- eval_runtime: 978.1933
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- eval_samples_per_second: 8.966
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- eval_steps_per_second: 1.121
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- epoch: 0.6
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- step: 1200
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 30
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- training_steps: 2000
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.49.0
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- Pytorch 2.5.1
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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adapter_model.safetensors
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