metadata
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-lora-a100
results: []
peft-starcoder-lora-a100
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: 5.6557
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 5.5246 | 0.05 | 100 | 7.4569 |
| 5.6178 | 0.1 | 200 | 7.2622 |
| 5.1291 | 0.15 | 300 | 6.4100 |
| 5.0522 | 0.2 | 400 | 6.3068 |
| 5.2029 | 0.25 | 500 | 6.1171 |
| 4.6541 | 0.3 | 600 | 6.0183 |
| 5.1002 | 0.35 | 700 | 6.0004 |
| 5.0498 | 0.4 | 800 | 5.8895 |
| 4.5412 | 0.45 | 900 | 5.8138 |
| 5.0007 | 0.5 | 1000 | 5.8342 |
| 5.0265 | 0.55 | 1100 | 5.7819 |
| 4.4118 | 0.6 | 1200 | 5.7206 |
| 4.7825 | 0.65 | 1300 | 5.7364 |
| 4.9802 | 0.7 | 1400 | 5.7123 |
| 4.3687 | 0.75 | 1500 | 5.6896 |
| 4.8847 | 0.8 | 1600 | 5.6759 |
| 4.9144 | 0.85 | 1700 | 5.6624 |
| 4.2487 | 0.9 | 1800 | 5.6601 |
| 4.7984 | 0.95 | 1900 | 5.6640 |
| 4.7042 | 1.0 | 2000 | 5.6557 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0