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--- |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: llama31-it-preference_data_v2_800K_wsafety |
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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: `0.4.1` |
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```yaml |
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adapter: null |
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base_model: /var/lib/condor/execute/slot1/dir_2782837/llama31_pretrain_pad |
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bf16: auto |
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dataset_prepared_path: /var/lib/condor/execute/slot1/dir_2782837/prepare |
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dataset_processes: 48 |
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datasets: |
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- conversation: llama-3 |
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path: RLHFlow/preference_data_v2_80K_wsafety |
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split: train |
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train_on_split: train |
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type: sharegpt.load_ultrachat |
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ddp: null |
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debug: null |
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deepspeed: null |
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early_stopping_patience: null |
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eval_steps: null |
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eval_table_max_new_tokens: null |
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eval_table_size: null |
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flash_attention: false |
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fp16: false |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 8 |
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gradient_checkpointing: true |
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group_by_length: false |
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hub_model_id: RyanYr/llama31-it-preference_data_v2_800K_wsafety |
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hub_strategy: every_save |
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learning_rate: 5.0e-06 |
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load_in_4bit: false |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 2 |
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lora_model_dir: null |
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lr_scheduler: cosine |
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max_grad_norm: 1.0 |
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micro_batch_size: 2 |
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model_type: AutoModelForCausalLM |
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num_epochs: 1 |
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optimizer: adamw_torch_fused |
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output_dir: /var/lib/condor/execute/slot1/dir_2782837/output-08-11-2024-18:22 |
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pad_to_sequence_len: true |
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sample_packing: true |
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save_safetensors: true |
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save_steps: 100 |
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save_strategy: steps |
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save_total_limit: 1 |
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sequence_len: 2048 |
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special_tokens: null |
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strict: false |
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tf32: true |
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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: yyr |
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wandb_log_model: null |
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wandb_name: llama31-8b-it_preference_data_v2_80K_wsafety |
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wandb_project: preference-models |
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wandb_watch: null |
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warmup_steps: 40 |
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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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# llama31-it-preference_data_v2_800K_wsafety |
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This model was trained from scratch on the None 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: 5e-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: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 40 |
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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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