metadata
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-finetuned
results: []
peft-starcoder-finetuned
This model is a fine-tuned version of bigcode/starcoderbase-1b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2169
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 50
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8313 | 0.9960 | 500 | 1.2189 |
| 0.5881 | 1.9920 | 1000 | 1.2062 |
| 0.5283 | 2.9880 | 1500 | 1.2020 |
| 0.4928 | 3.9841 | 2000 | 1.1926 |
| 0.4682 | 4.9801 | 2500 | 1.2326 |
| 0.4481 | 5.9761 | 3000 | 1.2139 |
| 0.4383 | 6.9721 | 3500 | 1.2099 |
| 0.4305 | 7.9681 | 4000 | 1.2161 |
| 0.4251 | 8.9641 | 4500 | 1.2138 |
| 0.423 | 9.9602 | 5000 | 1.2169 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3