v3-starcoderbase1b-personal-copilot-A100-40GB-colab
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: nan
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
---|---|---|---|
0.0 | 0.05 | 100 | nan |
0.0 | 0.1 | 200 | nan |
0.0 | 0.15 | 300 | nan |
0.0 | 0.2 | 400 | nan |
0.0 | 0.25 | 500 | nan |
0.0 | 0.3 | 600 | nan |
0.0 | 0.35 | 700 | nan |
0.0 | 0.4 | 800 | nan |
0.0 | 0.45 | 900 | nan |
0.0 | 0.5 | 1000 | nan |
0.0 | 0.55 | 1100 | nan |
0.0 | 0.6 | 1200 | nan |
0.0 | 0.65 | 1300 | nan |
0.0 | 0.7 | 1400 | nan |
0.0 | 0.75 | 1500 | nan |
0.0 | 0.8 | 1600 | nan |
0.0 | 0.85 | 1700 | nan |
0.0 | 0.9 | 1800 | nan |
0.0 | 0.95 | 1900 | nan |
0.0 | 1.0 | 2000 | nan |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for mkdir700/v3-starcoderbase1b-personal-copilot-A100-40GB-colab
Base model
bigcode/starcoderbase-1b