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--- |
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library_name: peft |
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license: mit |
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base_model: ByteDance-Seed/Seed-Coder-8B-Instruct |
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tags: |
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- axolotl |
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- base_model:adapter:ByteDance-Seed/Seed-Coder-8B-Instruct |
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- lora |
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- transformers |
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datasets: |
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- dataset.jsonl |
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pipeline_tag: text-generation |
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model-index: |
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- name: lora-out-seedcoder |
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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: `0.13.0.dev0` |
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```yaml |
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adapter: lora |
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base_model: ByteDance-Seed/Seed-Coder-8B-Instruct |
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bf16: true |
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dataset_prepared_path: last_run_prepared |
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# Dataset configuration for instruction/input/output format |
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datasets: |
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- path: dataset.jsonl |
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type: alpaca # Changed from chat_template to alpaca for instruction/input/output format |
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debug: null |
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deepspeed: /osmosis/zero2.json |
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early_stopping_patience: null |
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flash_attention: true |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 1 |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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group_by_length: false |
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learning_rate: 0.0001 |
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liger_fused_linear_cross_entropy: true |
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liger_glu_activation: true |
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liger_layer_norm: true |
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liger_rms_norm: true |
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liger_rope: true |
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load_in_4bit: false |
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load_in_8bit: false |
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logging_steps: 1 |
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lora_alpha: 64 |
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lora_dropout: 0.05 |
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lora_model_dir: null |
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lora_r: 64 |
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lora_target_linear: true |
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lr_scheduler: cosine |
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max_grad_norm: 1 |
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micro_batch_size: 16 |
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model_type: AutoModelForCausalLM |
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num_epochs: 1 |
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optimizer: adamw_torch |
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output_dir: ./lora-out-seedcoder |
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pad_to_sequence_len: true |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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resume_from_checkpoint: null |
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sample_packing: false |
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save_steps: 60 |
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save_total_limit: 100 |
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sequence_len: 4096 |
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# special_tokens: |
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# eos_token: <|im_end|> |
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strict: false |
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tf32: false |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.0 |
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wandb_entity: test-aa |
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wandb_project: seedcoder |
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wandb_log_model: null |
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wandb_name: No-mods-bytedance-seedcoder-8b-instruct-lora-64 |
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wandb_watch: null |
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warmup_ratio: 0.05 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# lora-out-seedcoder |
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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 dataset.jsonl dataset. |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 21 |
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- training_steps: 436 |
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### Training results |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 4.3.0 |
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- Tokenizers 0.22.1 |
