End of training
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README.md
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---
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license: bigcode-openrail-m
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: bigcode/starcoderbase-1b
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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: 1.0735
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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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: 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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| 1.359 | 0.05 | 100 | 1.0245 |
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| 0.9567 | 0.1 | 200 | 1.0392 |
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| 1.0333 | 0.15 | 300 | 1.0454 |
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| 1.3164 | 0.2 | 400 | 1.0303 |
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| 0.9588 | 0.25 | 500 | 1.0433 |
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| 0.6867 | 0.3 | 600 | 1.0427 |
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| 0.6739 | 0.35 | 700 | 1.0514 |
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| 0.9998 | 0.4 | 800 | 1.0590 |
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| 0.9813 | 0.45 | 900 | 1.0560 |
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| 1.1623 | 0.5 | 1000 | 1.0525 |
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| 0.7074 | 0.55 | 1100 | 1.0573 |
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| 0.5871 | 0.6 | 1200 | 1.0607 |
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| 1.3441 | 0.65 | 1300 | 1.0656 |
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| 0.8255 | 0.7 | 1400 | 1.0599 |
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| 0.6594 | 0.75 | 1500 | 1.0555 |
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| 0.737 | 0.8 | 1600 | 1.0668 |
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| 0.7897 | 0.85 | 1700 | 1.0660 |
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| 0.6235 | 0.9 | 1800 | 1.0675 |
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| 1.3649 | 0.95 | 1900 | 1.0737 |
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| 0.8795 | 1.0 | 2000 | 1.0735 |
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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 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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