| --- |
| library_name: peft |
| license: mit |
| base_model: ByteDance-Seed/Seed-Coder-8B-Instruct |
| tags: |
| - axolotl |
| - base_model:adapter:ByteDance-Seed/Seed-Coder-8B-Instruct |
| - lora |
| - transformers |
| datasets: |
| - data_clean.jsonl |
| pipeline_tag: text-generation |
| model-index: |
| - name: lora-sout-SC-highseq-len |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<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) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.13.0.dev0` |
| ```yaml |
| adapter: lora |
| base_model: ByteDance-Seed/Seed-Coder-8B-Instruct |
| bf16: true |
| dataset_prepared_path: last_run_prepared |
| |
| # Dataset configuration for instruction/input/output format |
| datasets: |
| - chat_template: tokenizer_default |
| field_messages: messages |
| message_field_content: content |
| message_field_role: role |
| path: data_clean.jsonl |
| roles: |
| assistant: |
| - assistant |
| system: |
| - system |
| user: |
| - user |
| type: chat_template |
| |
| debug: null |
| deepspeed: /osmosis/zero2.json |
| early_stopping_patience: null |
| flash_attention: true |
| fp16: null |
| fsdp: null |
| fsdp_config: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| group_by_length: false |
| learning_rate: 0.0001 |
| liger_fused_linear_cross_entropy: true |
| liger_glu_activation: true |
| liger_layer_norm: true |
| liger_rms_norm: true |
| liger_rope: true |
| load_in_4bit: false |
| load_in_8bit: false |
| logging_steps: 1 |
| lora_alpha: 64 |
| lora_dropout: 0.05 |
| lora_model_dir: null |
| lora_r: 64 |
| lora_target_linear: true |
| lr_scheduler: cosine |
| max_grad_norm: 1 |
| micro_batch_size: 4 |
| model_type: AutoModelForCausalLM |
| num_epochs: 1 |
| optimizer: adamw_torch |
| output_dir: ./lora-sout-SC-highseq-len |
| pad_to_sequence_len: true |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| resume_from_checkpoint: null |
| sample_packing: false |
| save_steps: 60 |
| save_total_limit: 100 |
| sequence_len: 8192 |
| # special_tokens: |
| # eos_token: <|im_end|> |
| strict: false |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| trust_remote_code: true |
| val_set_size: 0.0 |
| wandb_entity: test-aa |
| wandb_project: seedcoder |
| wandb_log_model: null |
| wandb_name: No-mods-seedcoder-low-gas-high-seq-len |
| wandb_watch: null |
| warmup_ratio: 0.05 |
| weight_decay: 0.0 |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| # lora-sout-SC-highseq-len |
|
|
| This model is a fine-tuned version of [ByteDance-Seed/Seed-Coder-8B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct) on the data_clean.jsonl dataset. |
| |
| ## 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: 0.0001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 16 |
| - optimizer: Use OptimizerNames.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: 28 |
| - training_steps: 568 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.17.1 |
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.3.0 |
| - Tokenizers 0.22.1 |
