{ "architectures": [ "IbaXs_LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "float32", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 11008, "main_cfg": { "data": { "data_path": "ft-training_set/commonsense_15k.json", "dataset_name": "CMS", "val_set_size": 512 }, "hyperxs": { "drop_out": 0.0, "latent_feature_dim": 512, "layer_embed_dim": 48, "layer_norm_epsilon": 1e-05, "lora_attn_dim": 64, "module_embed_dim": 16, "modules_per_layer": 7, "n_cross_attn_tokens": 8, "out_proj_dim": 128 }, "infer": { "datasets": [ "boolq" ], "eval_batch_size": 128, "is_json": true, "model_path": "" }, "model": { "base_model_name": "meta-llama/Llama-2-7b-hf", "cutoff_len": 512, "train_on_inputs": false }, "run_text": "def", "seed": 42, "training": { "bf16": false, "bf16_full_eval": false, "dataloader_num_workers": 4, "dataloader_persistent_workers": true, "dataloader_pin_memory": true, "dataloader_prefetch_factor": 1, "eval_delay": 0, "eval_steps": 1, "eval_strategy": "steps", "gradient_accumulation_steps": 1, "gradient_checkpointing": false, "gradient_checkpointing_kwargs": { "use_reentrant": false }, "learning_rate": 1e-36, "load_best_model_at_end": true, "logging_steps": 1, "lr_scheduler_type": "cosine", "max_steps": -1, "num_train_epochs": 3.0, "num_workers": 2, "optim": "adamw_torch", "output_dir": "exps", "per_device_eval_batch_size": 32, "per_device_train_batch_size": 16, "report_to": "none", "resume_from_checkpoint": false, "save_safetensors": false, "save_steps": 1.0, "save_strategy": "steps", "save_total_limit": 1, "warmup_ratio": 0.1 } }, "max_position_embeddings": 4096, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 32, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "transformers_version": "4.57.3", "use_cache": true, "vocab_size": 32000 }