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README.md
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---
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base_model: bigcode/starcoderbase-1b
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library_name: peft
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license: bigcode-openrail-m
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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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- Loss: 0.8388
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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: 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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| 0.8844 | 0.05 | 100 | 0.8664 |
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| 0.8718 | 0.1 | 200 | 0.8622 |
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| 0.8754 | 0.15 | 300 | 0.8603 |
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| 0.8898 | 0.2 | 400 | 0.8581 |
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| 0.8722 | 0.25 | 500 | 0.8565 |
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| 0.8592 | 0.3 | 600 | 0.8554 |
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| 0.8655 | 0.35 | 700 | 0.8537 |
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| 0.8546 | 0.4 | 800 | 0.8514 |
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| 0.8776 | 0.45 | 900 | 0.8493 |
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| 0.852 | 0.5 | 1000 | 0.8477 |
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| 0.8702 | 0.55 | 1100 | 0.8451 |
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| 0.8745 | 0.6 | 1200 | 0.8438 |
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| 0.8613 | 0.65 | 1300 | 0.8422 |
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| 0.8602 | 0.7 | 1400 | 0.8412 |
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| 0.8584 | 0.75 | 1500 | 0.8400 |
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| 0.8455 | 0.8 | 1600 | 0.8398 |
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| 0.8388 | 0.85 | 1700 | 0.8393 |
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| 0.8222 | 0.9 | 1800 | 0.8388 |
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| 0.8413 | 0.95 | 1900 | 0.8389 |
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| 0.8337 | 1.0 | 2000 | 0.8388 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.1
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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