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starcoderbase1b-personal-copilot-A100-40GB-colab-1b
This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8660
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6802 | 0.05 | 100 | 2.4316 |
| 1.6009 | 0.1 | 200 | 1.9687 |
| 1.118 | 0.15 | 300 | 1.4213 |
| 0.9805 | 0.2 | 400 | 1.2800 |
| 1.2515 | 0.25 | 500 | 1.2094 |
| 1.1289 | 0.3 | 600 | 1.1665 |
| 1.069 | 0.35 | 700 | 0.9681 |
| 0.8232 | 0.4 | 800 | 0.9157 |
| 0.8186 | 0.45 | 900 | 0.9054 |
| 0.9282 | 0.5 | 1000 | 0.8904 |
| 1.0739 | 0.55 | 1100 | 0.8726 |
| 1.4045 | 0.6 | 1200 | 0.8713 |
| 1.3319 | 0.65 | 1300 | 0.8699 |
| 0.8325 | 0.7 | 1400 | 0.8673 |
| 0.8188 | 0.75 | 1500 | 0.8645 |
| 1.401 | 0.8 | 1600 | 0.8680 |
| 0.7713 | 0.85 | 1700 | 0.8666 |
| 0.9051 | 0.9 | 1800 | 0.8664 |
| 0.8787 | 0.95 | 1900 | 0.8660 |
| 0.8024 | 1.0 | 2000 | 0.8660 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for update0909/starcoderbase1b-personal-copilot-A100-40GB-colab-1b
Base model
bigcode/starcoderbase-1b