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: 0.7358
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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1611 | 2.8470 | 100 | 0.6569 |
| 0.845 | 5.6940 | 200 | 0.6875 |
| 0.7272 | 8.5409 | 300 | 0.6951 |
| 0.6726 | 11.3879 | 400 | 0.7098 |
| 0.6433 | 14.2349 | 500 | 0.7211 |
| 0.6115 | 17.0819 | 600 | 0.7309 |
| 0.5989 | 19.9288 | 700 | 0.7325 |
| 0.5888 | 22.7758 | 800 | 0.7352 |
| 0.5828 | 25.6228 | 900 | 0.7355 |
| 0.5851 | 28.4698 | 1000 | 0.7358 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3