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--- |
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library_name: transformers |
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license: mit |
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base_model: ByteDance-Seed/Seed-Coder-8B-Base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- axolotl-ai-internal/gpumode-py2triton-reasoning-v2 |
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model-index: |
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- name: outputs/out |
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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: `0.10.0.dev0` |
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```yaml |
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base_model: ByteDance-Seed/Seed-Coder-8B-Base |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_glu_activation: true |
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chat_template: llama3 |
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datasets: |
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- path: axolotl-ai-internal/gpumode-py2triton-reasoning-v2 |
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type: chat_template |
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split: train |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.005 |
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output_dir: ./outputs/out |
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sequence_len: 16384 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: seed-coder-8b-grpo-triton |
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wandb_entity: axolotl-ai |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: adamw_torch_fused |
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max_grad_norm: 0.1 |
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neftune_noise_alpha: 10 |
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lr_scheduler: cosine |
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learning_rate: 1e-6 |
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lr_groups: |
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- name: embeddings |
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modules: |
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- embed_tokens |
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- lm_head |
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lr: 0.00003 # scalu up LR for embeddings as these are unused tokens |
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bf16: true |
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tf32: true |
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gradient_checkpointing: offload |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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logging_steps: 1 |
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flash_attention: true |
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warmup_steps: 100 |
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evals_per_epoch: 5 |
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saves_per_epoch: 1 |
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weight_decay: 0.01 |
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deepspeed: deepspeed_configs/zero1.json |
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special_tokens: |
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eos_token: <|eot_id|> |
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added_tokens_overrides: |
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7: <|start_header_id|> |
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8: <|end_header_id|> |
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9: <|eot_id|> |
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10: <think> |
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11: </think> |
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fix_untrained_tokens: [7, 8, 9, 10, 11] |
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``` |
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</details><br> |
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# outputs/out |
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This model is a fine-tuned version of [ByteDance-Seed/Seed-Coder-8B-Base](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base) on the axolotl-ai-internal/gpumode-py2triton-reasoning-v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2177 |
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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: 1e-06 |
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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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- distributed_type: multi-GPU |
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- num_devices: 10 |
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- total_train_batch_size: 20 |
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- total_eval_batch_size: 20 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100 |
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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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| 0.5293 | 0.0046 | 1 | 5.7151 | |
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| 0.4449 | 0.2018 | 44 | 0.4878 | |
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| 0.425 | 0.4037 | 88 | 0.4319 | |
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| 0.3437 | 0.6055 | 132 | 0.3322 | |
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| 0.2903 | 0.8073 | 176 | 0.2893 | |
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| 0.2528 | 1.0092 | 220 | 0.2677 | |
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| 0.2578 | 1.2110 | 264 | 0.2531 | |
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| 0.2522 | 1.4128 | 308 | 0.2414 | |
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| 0.2403 | 1.6147 | 352 | 0.2352 | |
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| 0.232 | 1.8165 | 396 | 0.2252 | |
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| 0.2093 | 2.0183 | 440 | 0.2360 | |
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| 0.2406 | 2.2202 | 484 | 0.2311 | |
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| 0.2523 | 2.4220 | 528 | 0.2260 | |
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| 0.2139 | 2.6239 | 572 | 0.2259 | |
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| 0.2296 | 2.8257 | 616 | 0.2177 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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