Training in progress, step 10
Browse files- adapter_config.json +8 -8
- adapter_model.safetensors +2 -2
- args.json +10 -10
- logging.jsonl +0 -0
- training_args.bin +1 -1
adapter_config.json
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_bias": false,
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"lora_dropout": 0.
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [],
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"peft_type": "LORA",
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-
"r":
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"rank_pattern": {},
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"target_modules": [
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"q_proj",
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"gate_proj",
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"up_proj",
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"k_proj",
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"
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"o_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.01,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [],
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"v_proj",
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"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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size 828527688
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args.json
CHANGED
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@@ -21,7 +21,7 @@
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"use_chat_template": true,
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"template_backend": "swift",
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"dataset": [
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"
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],
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"val_dataset": [],
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"split_dataset_ratio": 0.03,
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"custom_register_path": [],
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"ignore_args_error": false,
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"use_swift_lora": false,
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"output_dir": "/home/shadeform/output/
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"overwrite_output_dir": false,
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"do_train": false,
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"do_eval": false,
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@@ -97,19 +97,19 @@
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"max_steps": -1,
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"lr_scheduler_type": "linear",
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"warmup_ratio": 0.
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"warmup_steps": 0,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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"logging_dir": "/home/shadeform/output/
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"logging_strategy": "steps",
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"logging_first_step": true,
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"logging_steps": 1,
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"logging_nan_inf_filter": true,
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"save_strategy": "steps",
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"save_steps": 10.0,
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-
"save_total_limit":
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"save_safetensors": true,
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"save_on_each_node": false,
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"save_only_model": false,
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],
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"target_regex": null,
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"modules_to_save": [],
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"lora_rank":
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"lora_alpha":
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"lora_dropout": 0.
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"lora_bias": "none",
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"lora_dtype": null,
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"lorap_lr_ratio": null,
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"local_world_size": 8,
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"model_suffix": "AGENTIC-TURBO-2-4-2025-PREVIEW",
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"model_info": "ModelInfo(model_type='llama3_2', model_dir='/home/shadeform/.cache/huggingface/hub/models--TheAgenticAI--AGENTIC-TURBO-2-4-2025-PREVIEW/snapshots/6ce3b51c4cb3651afb10dff60fbf8f62df058d45', torch_dtype=torch.bfloat16, max_model_len=128000, quant_method=None, quant_bits=None, config=None, task_type='causal_lm', num_labels=None)",
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-
"model_meta": "ModelMeta(model_type='llama3_2', model_groups=[ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.2-1B', hf_model_id='meta-llama/Llama-3.2-1B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B', hf_model_id='meta-llama/Llama-3.2-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-1B-Instruct', hf_model_id='meta-llama/Llama-3.2-1B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B-Instruct', hf_model_id='meta-llama/Llama-3.2-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.3-70B-Instruct', hf_model_id='meta-llama/Llama-3.3-70B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', hf_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='llama3_2', get_function=<function get_model_tokenizer_with_flash_attn at
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"model_dir": "/home/shadeform/.cache/huggingface/hub/models--TheAgenticAI--AGENTIC-TURBO-2-4-2025-PREVIEW/snapshots/6ce3b51c4cb3651afb10dff60fbf8f62df058d45",
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"hub": "<class 'swift.hub.hub.HFHub'>",
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-
"training_args": "ORPOConfig(output_dir='/home/shadeform/output/
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}
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"use_chat_template": true,
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"template_backend": "swift",
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"dataset": [
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+
"kedar-final.jsonl"
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],
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"val_dataset": [],
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"split_dataset_ratio": 0.03,
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"custom_register_path": [],
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"ignore_args_error": false,
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"use_swift_lora": false,
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"output_dir": "/home/shadeform/output/v5-20250212-205437",
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"overwrite_output_dir": false,
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"do_train": false,
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"do_eval": false,
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"max_steps": -1,
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"lr_scheduler_type": "linear",
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"lr_scheduler_kwargs": null,
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"warmup_ratio": 0.1,
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"warmup_steps": 0,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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+
"logging_dir": "/home/shadeform/output/v5-20250212-205437/runs",
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"logging_strategy": "steps",
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"logging_first_step": true,
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"logging_steps": 1,
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"logging_nan_inf_filter": true,
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"save_strategy": "steps",
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"save_steps": 10.0,
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"save_total_limit": 2,
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"save_safetensors": true,
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"save_on_each_node": false,
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"save_only_model": false,
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],
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"target_regex": null,
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"modules_to_save": [],
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+
"lora_rank": 32,
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"lora_alpha": 16,
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"lora_dropout": 0.01,
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"lora_bias": "none",
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"lora_dtype": null,
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"lorap_lr_ratio": null,
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"local_world_size": 8,
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"model_suffix": "AGENTIC-TURBO-2-4-2025-PREVIEW",
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"model_info": "ModelInfo(model_type='llama3_2', model_dir='/home/shadeform/.cache/huggingface/hub/models--TheAgenticAI--AGENTIC-TURBO-2-4-2025-PREVIEW/snapshots/6ce3b51c4cb3651afb10dff60fbf8f62df058d45', torch_dtype=torch.bfloat16, max_model_len=128000, quant_method=None, quant_bits=None, config=None, task_type='causal_lm', num_labels=None)",
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+
"model_meta": "ModelMeta(model_type='llama3_2', model_groups=[ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.2-1B', hf_model_id='meta-llama/Llama-3.2-1B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B', hf_model_id='meta-llama/Llama-3.2-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-1B-Instruct', hf_model_id='meta-llama/Llama-3.2-1B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B-Instruct', hf_model_id='meta-llama/Llama-3.2-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.3-70B-Instruct', hf_model_id='meta-llama/Llama-3.3-70B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', hf_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='llama3_2', get_function=<function get_model_tokenizer_with_flash_attn at 0x7fe848046200>, model_arch='llama', architectures=['LlamaForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=[], requires=['transformers>=4.45'], tags=[])",
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"model_dir": "/home/shadeform/.cache/huggingface/hub/models--TheAgenticAI--AGENTIC-TURBO-2-4-2025-PREVIEW/snapshots/6ce3b51c4cb3651afb10dff60fbf8f62df058d45",
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"hub": "<class 'swift.hub.hub.HFHub'>",
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"training_args": "ORPOConfig(output_dir='/home/shadeform/output/v5-20250212-205437', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=4, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=5e-05, weight_decay=0.01, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.LINEAR: 'linear'>, lr_scheduler_kwargs=None, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/shadeform/output/v5-20250212-205437/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=10, save_total_limit=2, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=10, dataloader_num_workers=0, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/shadeform/output/v5-20250212-205437', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': 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push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=None, max_length=22000, max_prompt_length=None, max_completion_length=None, beta=0.1, disable_dropout=True, label_pad_token_id=None, padding_value=None, truncation_mode='keep_end', generate_during_eval=False, is_encoder_decoder=False, model_init_kwargs=None, dataset_num_proc=1, acc_strategy='token', sequence_parallel_size=1, check_model=True, train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1, fsdp_num=1, acc_steps=1, train_type='lora', optimizer=None, galore_config=None)"
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}
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logging.jsonl
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training_args.bin
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