starcoder-1b-hf-stack-v1-lora
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: 1.4037
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0738 | 0.1 | 10 | 1.4130 |
| 1.0391 | 0.2 | 20 | 1.4104 |
| 0.9788 | 0.3 | 30 | 1.4124 |
| 1.033 | 0.4 | 40 | 1.4151 |
| 0.9991 | 0.5 | 50 | 1.4070 |
| 1.0163 | 0.6 | 60 | 1.4138 |
| 0.9945 | 0.7 | 70 | 1.4015 |
| 0.9967 | 0.8 | 80 | 1.4051 |
| 1.0755 | 0.9 | 90 | 1.4043 |
| 0.9449 | 1.0 | 100 | 1.4037 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for sanketrai/starcoder-1b-hf-stack-v1-lora
Base model
bigcode/starcoderbase-1b