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---
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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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library_name: peft
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model-index:
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- name: Test_Training_v3
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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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# Test_Training_v3 |
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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: 1.5622 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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| 0.4169 | 0.05 | 100 | 0.9127 | |
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| 0.2774 | 0.1 | 200 | 0.9903 | |
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| 0.1967 | 0.15 | 300 | 1.1247 | |
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| 0.1572 | 0.2 | 400 | 1.1690 | |
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| 0.1649 | 0.25 | 500 | 1.2579 | |
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| 0.123 | 0.3 | 600 | 1.2884 | |
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| 0.1023 | 0.35 | 700 | 1.3079 | |
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| 0.0777 | 0.4 | 800 | 1.3562 | |
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| 0.0674 | 0.45 | 900 | 1.4247 | |
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| 0.0704 | 0.5 | 1000 | 1.4536 | |
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| 0.0715 | 0.55 | 1100 | 1.4713 | |
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| 0.0502 | 0.6 | 1200 | 1.4968 | |
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| 0.0553 | 0.65 | 1300 | 1.5002 | |
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| 0.0505 | 0.7 | 1400 | 1.5015 | |
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| 0.043 | 0.75 | 1500 | 1.5359 | |
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| 0.0458 | 0.8 | 1600 | 1.5474 | |
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| 0.0355 | 0.85 | 1700 | 1.5581 | |
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| 0.0438 | 0.9 | 1800 | 1.5616 | |
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| 0.0507 | 0.95 | 1900 | 1.5633 | |
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| 0.0378 | 1.0 | 2000 | 1.5622 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.6.0 |
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- Tokenizers 0.19.1 |
