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--- |
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library_name: peft |
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license: bigcode-openrail-m |
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base_model: bigcode/starcoder2-15b |
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tags: |
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- generated_from_trainer |
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datasets: |
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- kevinwsbr/vulnfixes-web |
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model-index: |
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- name: outputs/starcoder-vulnfixes-web |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.8.0.dev0` |
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```yaml |
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base_model: bigcode/starcoder2-15b |
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# Automatically upload checkpoint and final model to HF |
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# hub_model_id: username/custom_model_name |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: kevinwsbr/vulnfixes-web |
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type: alpaca |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./outputs/starcoder-vulnfixes-web |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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wandb_project: starcoder |
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wandb_entity: |
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wandb_watch: |
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wandb_run_id: |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: false |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 20 |
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evals_per_epoch: 4 |
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eval_steps: |
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eval_table_size: |
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saves_per_epoch: 4 |
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save_steps: |
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save_total_limit: 2 |
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debug: |
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deepspeed: |
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weight_decay: |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: "<|endoftext|>" |
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eos_token: "<|endoftext|>" |
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``` |
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</details><br> |
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# outputs/starcoder-vulnfixes-web |
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This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on the kevinwsbr/vulnfixes-web dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0529 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1499 | 0.0092 | 1 | 0.0645 | |
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| 0.1554 | 0.2569 | 28 | 0.0622 | |
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| 0.0745 | 0.5138 | 56 | 0.0571 | |
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| 0.0616 | 0.7706 | 84 | 0.0559 | |
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| 0.0645 | 1.0275 | 112 | 0.0547 | |
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| 0.0601 | 1.2844 | 140 | 0.0542 | |
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| 0.0688 | 1.5413 | 168 | 0.0537 | |
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| 0.0424 | 1.7982 | 196 | 0.0534 | |
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| 0.086 | 2.0550 | 224 | 0.0532 | |
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| 0.0759 | 2.3119 | 252 | 0.0530 | |
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| 0.0583 | 2.5688 | 280 | 0.0529 | |
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| 0.1087 | 2.8257 | 308 | 0.0529 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
