metadata
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-7b
tags:
- generated_from_trainer
model-index:
- name: starcoder-llm-7b-base
results: []
starcoder-llm-7b-base
This model is a fine-tuned version of bigcode/starcoderbase-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9413
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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_ratio: 0.1
- lr_scheduler_warmup_steps: 30
- training_steps: 375
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5705 | 0.2667 | 100 | 0.9178 |
| 0.8332 | 0.5333 | 200 | 0.9455 |
| 1.6848 | 0.8 | 300 | 0.9413 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0