metadata
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: starcoder-peft-airscript
results: []
starcoder-peft-airscript
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: 0.7248
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1600
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2597 | 0.0625 | 100 | 1.1604 |
| 0.9591 | 0.125 | 200 | 0.9402 |
| 0.8109 | 0.1875 | 300 | 0.8431 |
| 0.7151 | 0.25 | 400 | 0.7917 |
| 0.6362 | 0.3125 | 500 | 0.7607 |
| 0.5759 | 0.375 | 600 | 0.7401 |
| 0.5284 | 0.4375 | 700 | 0.7334 |
| 0.4926 | 0.5 | 800 | 0.7252 |
| 0.4616 | 0.5625 | 900 | 0.7212 |
| 0.4369 | 0.625 | 1000 | 0.7236 |
| 0.4111 | 0.6875 | 1100 | 0.7255 |
| 0.3969 | 0.75 | 1200 | 0.7236 |
| 0.3855 | 0.8125 | 1300 | 0.7260 |
| 0.3822 | 0.875 | 1400 | 0.7262 |
| 0.3768 | 0.9375 | 1500 | 0.7256 |
| 0.3778 | 1.0 | 1600 | 0.7248 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.0.1
- Tokenizers 0.20.1