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Browse files- args.json +353 -0
- checkpoint-2400/README.md +206 -0
- checkpoint-2400/adapter_config.json +49 -0
- checkpoint-2400/adapter_model.safetensors +3 -0
- checkpoint-2400/additional_config.json +1 -0
- checkpoint-2400/args.json +353 -0
- checkpoint-2400/optimizer.pt +3 -0
- checkpoint-2400/rng_state_0.pth +3 -0
- checkpoint-2400/rng_state_1.pth +3 -0
- checkpoint-2400/rng_state_2.pth +3 -0
- checkpoint-2400/rng_state_3.pth +3 -0
- checkpoint-2400/rng_state_4.pth +3 -0
- checkpoint-2400/rng_state_5.pth +3 -0
- checkpoint-2400/rng_state_6.pth +3 -0
- checkpoint-2400/rng_state_7.pth +3 -0
- checkpoint-2400/scheduler.pt +3 -0
- checkpoint-2400/trainer_state.json +3401 -0
- checkpoint-2400/training_args.bin +3 -0
- checkpoint-2600/README.md +206 -0
- checkpoint-2600/adapter_config.json +49 -0
- checkpoint-2600/adapter_model.safetensors +3 -0
- checkpoint-2600/additional_config.json +1 -0
- checkpoint-2600/args.json +353 -0
- checkpoint-2600/optimizer.pt +3 -0
- checkpoint-2600/rng_state_0.pth +3 -0
- checkpoint-2600/rng_state_1.pth +3 -0
- checkpoint-2600/rng_state_2.pth +3 -0
- checkpoint-2600/rng_state_3.pth +3 -0
- checkpoint-2600/rng_state_4.pth +3 -0
- checkpoint-2600/rng_state_5.pth +3 -0
- checkpoint-2600/rng_state_6.pth +3 -0
- checkpoint-2600/rng_state_7.pth +3 -0
- checkpoint-2600/scheduler.pt +3 -0
- checkpoint-2600/trainer_state.json +0 -0
- checkpoint-2600/training_args.bin +3 -0
- images/train_epoch.png +0 -0
- images/train_grad_norm.png +0 -0
- images/train_learning_rate.png +0 -0
- images/train_loss.png +0 -0
- logging.jsonl +0 -0
- runs/events.out.tfevents.1767168374.server-217.1205148.0 +3 -0
args.json
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| 1 |
+
{
|
| 2 |
+
"output_dir": "/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438",
|
| 3 |
+
"overwrite_output_dir": false,
|
| 4 |
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"do_train": false,
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| 5 |
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"do_eval": false,
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| 6 |
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"do_predict": false,
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| 7 |
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"eval_strategy": "no",
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| 8 |
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"prediction_loss_only": false,
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| 9 |
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"per_device_train_batch_size": 4,
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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"gradient_accumulation_steps": 2,
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| 14 |
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| 15 |
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| 16 |
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"torch_empty_cache_steps": null,
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| 17 |
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"learning_rate": 6e-06,
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| 18 |
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"weight_decay": 0.1,
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| 19 |
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"adam_beta1": 0.9,
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| 20 |
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"adam_beta2": 0.95,
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| 21 |
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"adam_epsilon": 1e-08,
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| 22 |
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"max_grad_norm": 1.0,
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| 23 |
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"num_train_epochs": 1.0,
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| 24 |
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"max_steps": -1,
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| 25 |
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"lr_scheduler_type": "cosine",
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| 26 |
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| 27 |
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"warmup_ratio": 0.1,
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| 28 |
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"warmup_steps": 0,
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| 29 |
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"log_level": "passive",
|
| 30 |
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"log_level_replica": "warning",
|
| 31 |
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"log_on_each_node": true,
|
| 32 |
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"logging_dir": "/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438/runs",
|
| 33 |
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"logging_strategy": "steps",
|
| 34 |
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"logging_first_step": true,
|
| 35 |
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"logging_steps": 5,
|
| 36 |
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"logging_nan_inf_filter": true,
|
| 37 |
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"save_strategy": "steps",
|
| 38 |
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"save_steps": 200.0,
|
| 39 |
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"save_total_limit": 2,
|
| 40 |
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"save_safetensors": true,
|
| 41 |
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"save_on_each_node": false,
|
| 42 |
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"save_only_model": false,
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| 43 |
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"restore_callback_states_from_checkpoint": false,
|
| 44 |
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"no_cuda": false,
|
| 45 |
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"use_cpu": false,
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| 46 |
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| 47 |
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"seed": 42,
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| 48 |
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"data_seed": 42,
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| 49 |
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"jit_mode_eval": false,
|
| 50 |
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"bf16": true,
|
| 51 |
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"fp16": false,
|
| 52 |
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"fp16_opt_level": "O1",
|
| 53 |
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"half_precision_backend": "auto",
|
| 54 |
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"bf16_full_eval": false,
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| 55 |
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"fp16_full_eval": false,
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| 56 |
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"tf32": null,
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| 57 |
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"local_rank": 0,
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| 58 |
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"ddp_backend": null,
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| 59 |
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"tpu_num_cores": null,
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| 60 |
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"tpu_metrics_debug": false,
|
| 61 |
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"debug": null,
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| 62 |
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"dataloader_drop_last": true,
|
| 63 |
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"eval_steps": 200.0,
|
| 64 |
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"dataloader_num_workers": 64,
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| 65 |
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"dataloader_prefetch_factor": null,
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| 66 |
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"past_index": -1,
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| 67 |
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"run_name": "/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438",
|
| 68 |
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"disable_tqdm": null,
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| 69 |
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"remove_unused_columns": true,
|
| 70 |
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"label_names": null,
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| 71 |
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"load_best_model_at_end": false,
|
| 72 |
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"metric_for_best_model": "loss",
|
| 73 |
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"greater_is_better": false,
|
| 74 |
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"ignore_data_skip": false,
|
| 75 |
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"fsdp": [],
|
| 76 |
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|
| 77 |
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"fsdp_config": null,
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| 78 |
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"fsdp_transformer_layer_cls_to_wrap": null,
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| 79 |
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"accelerator_config": {
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| 80 |
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"dispatch_batches": false
|
| 81 |
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},
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| 82 |
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"parallelism_config": null,
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| 83 |
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"deepspeed": null,
|
| 84 |
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"label_smoothing_factor": 0.0,
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| 85 |
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"optim": "adamw_torch_fused",
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| 86 |
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"optim_args": null,
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| 87 |
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"adafactor": false,
|
| 88 |
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"group_by_length": false,
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| 89 |
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"length_column_name": "length",
|
| 90 |
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"report_to": [
|
| 91 |
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"tensorboard"
|
| 92 |
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],
|
| 93 |
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"project": "huggingface",
|
| 94 |
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"trackio_space_id": "trackio",
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| 95 |
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"ddp_find_unused_parameters": null,
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| 96 |
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| 97 |
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| 98 |
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"dataloader_pin_memory": true,
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| 99 |
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"dataloader_persistent_workers": false,
|
| 100 |
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"skip_memory_metrics": true,
|
| 101 |
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"use_legacy_prediction_loop": false,
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| 102 |
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"push_to_hub": false,
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| 103 |
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"resume_from_checkpoint": null,
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| 104 |
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"hub_model_id": null,
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| 105 |
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"hub_strategy": "every_save",
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| 106 |
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"hub_token": null,
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| 107 |
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"hub_private_repo": null,
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| 108 |
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"hub_always_push": false,
|
| 109 |
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"hub_revision": null,
|
| 110 |
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"gradient_checkpointing": true,
|
| 111 |
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"gradient_checkpointing_kwargs": null,
|
| 112 |
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"include_inputs_for_metrics": false,
|
| 113 |
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"include_for_metrics": [],
|
| 114 |
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"eval_do_concat_batches": true,
|
| 115 |
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"fp16_backend": "auto",
|
| 116 |
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"push_to_hub_model_id": null,
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| 117 |
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| 118 |
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| 119 |
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"mp_parameters": "",
|
| 120 |
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"auto_find_batch_size": false,
|
| 121 |
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"full_determinism": false,
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| 122 |
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"torchdynamo": null,
|
| 123 |
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"ray_scope": "last",
|
| 124 |
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"ddp_timeout": 18000000,
|
| 125 |
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"torch_compile": false,
|
| 126 |
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|
| 127 |
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"torch_compile_mode": null,
|
| 128 |
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"include_tokens_per_second": false,
|
| 129 |
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|
| 130 |
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"neftune_noise_alpha": null,
|
| 131 |
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"optim_target_modules": null,
|
| 132 |
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"batch_eval_metrics": false,
|
| 133 |
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"eval_on_start": false,
|
| 134 |
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"use_liger_kernel": true,
|
| 135 |
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"liger_kernel_config": null,
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| 136 |
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"eval_use_gather_object": false,
|
| 137 |
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"average_tokens_across_devices": true,
|
| 138 |
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"sortish_sampler": false,
|
| 139 |
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"predict_with_generate": false,
|
| 140 |
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"generation_max_length": null,
|
| 141 |
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| 142 |
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"generation_config": null,
|
| 143 |
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"tuner_backend": "peft",
|
| 144 |
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"vit_gradient_checkpointing": null,
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| 145 |
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"router_aux_loss_coef": 0.0,
|
| 146 |
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"enable_dft_loss": false,
|
| 147 |
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"enable_channel_loss": false,
|
| 148 |
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"check_model": true,
|
| 149 |
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"acc_strategy": "token",
|
| 150 |
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"train_dataloader_shuffle": true,
|
| 151 |
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|
| 152 |
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"aligner_lr": null,
|
| 153 |
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"vit_lr": null,
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| 154 |
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"use_logits_to_keep": null,
|
| 155 |
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"ds3_gather_for_generation": true,
|
| 156 |
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"resume_only_model": false,
|
| 157 |
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"optimizer": null,
|
| 158 |
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"loss_type": "infonce",
|
| 159 |
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"metric": null,
|
| 160 |
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"eval_use_evalscope": false,
|
| 161 |
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"eval_dataset": [],
|
| 162 |
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"eval_dataset_args": null,
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| 163 |
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"eval_limit": null,
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| 164 |
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|
| 165 |
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"extra_eval_args": null,
|
| 166 |
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"use_flash_ckpt": false,
|
| 167 |
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"use_ray": false,
|
| 168 |
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"ray_exp_name": null,
|
| 169 |
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"device_groups": null,
|
| 170 |
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"model": "Qwen/Qwen3-Embedding-4B",
|
| 171 |
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"model_type": "qwen3_emb",
|
| 172 |
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"model_revision": null,
|
| 173 |
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"task_type": "embedding",
|
| 174 |
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"torch_dtype": "bfloat16",
|
| 175 |
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"attn_impl": "flash_attn",
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| 176 |
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"new_special_tokens": [],
|
| 177 |
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"num_labels": null,
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| 178 |
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"problem_type": null,
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| 179 |
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"rope_scaling": null,
|
| 180 |
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"device_map": null,
|
| 181 |
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"max_memory": {},
|
| 182 |
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"max_model_len": null,
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| 183 |
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"local_repo_path": null,
|
| 184 |
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|
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| 341 |
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| 343 |
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| 344 |
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| 345 |
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"model_suffix": "Qwen3-Embedding-4B",
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| 346 |
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"model_info": "ModelInfo(model_type='qwen3_emb', model_dir='/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=False, config=None, task_type='embedding', num_labels=None)",
|
| 347 |
+
"model_meta": "ModelMeta(model_type='qwen3_emb', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Embedding-0.6B', hf_model_id='Qwen/Qwen3-Embedding-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Embedding-4B', hf_model_id='Qwen/Qwen3-Embedding-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Embedding-8B', hf_model_id='Qwen/Qwen3-Embedding-8B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen3_emb', get_function=<function get_model_tokenizer_with_flash_attn at 0x7f415201c5e0>, model_arch=None, architectures=['Qwen3ForCausalLM'], additional_saved_files=['config_sentence_transformers.json', '1_Pooling', 'modules.json'], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 348 |
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"model_dir": "/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B",
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| 349 |
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"_val_dataset_exists": [],
|
| 350 |
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"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 351 |
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"evaluation_strategy": "steps",
|
| 352 |
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"training_args": "TrainingArguments(output_dir='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=4, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=2, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=6e-06, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, 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='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=200, 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, 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=True, eval_steps=200.0, dataloader_num_workers=64, dataloader_prefetch_factor=2, past_index=-1, run_name='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438', 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': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], project='huggingface', trackio_space_id='trackio', ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, hub_revision=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, 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=18000000, torch_compile=False, torch_compile_backend=None, torch_compile_mode=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=True, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='infonce', metric=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, use_flash_ckpt=False, sft_alpha=0, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='lora', local_repo_path=None, galore_config=None, task_type='embedding', problem_type=None)"
|
| 353 |
+
}
|
checkpoint-2400/README.md
ADDED
|
@@ -0,0 +1,206 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.18.0
|
checkpoint-2400/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3ForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.qwen3.modeling_qwen3"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"layer_replication": null,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"loftq_config": {},
|
| 22 |
+
"lora_alpha": 32,
|
| 23 |
+
"lora_bias": false,
|
| 24 |
+
"lora_dropout": 0.05,
|
| 25 |
+
"megatron_config": null,
|
| 26 |
+
"megatron_core": "megatron.core",
|
| 27 |
+
"modules_to_save": [],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.0",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 8,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"k_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"v_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"up_proj",
|
| 41 |
+
"q_proj"
|
| 42 |
+
],
|
| 43 |
+
"target_parameters": null,
|
| 44 |
+
"task_type": null,
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoint-2400/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:380f74ab2e524fb27adcef5219c053fc6c42fa87f6be8f89059d2a75f0ee1538
|
| 3 |
+
size 66126768
|
checkpoint-2400/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
checkpoint-2400/args.json
ADDED
|
@@ -0,0 +1,353 @@
|
|
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|
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"model_meta": "ModelMeta(model_type='qwen3_emb', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Embedding-0.6B', hf_model_id='Qwen/Qwen3-Embedding-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Embedding-4B', hf_model_id='Qwen/Qwen3-Embedding-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Embedding-8B', hf_model_id='Qwen/Qwen3-Embedding-8B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen3_emb', get_function=<function get_model_tokenizer_with_flash_attn at 0x7f415201c5e0>, model_arch=None, architectures=['Qwen3ForCausalLM'], additional_saved_files=['config_sentence_transformers.json', '1_Pooling', 'modules.json'], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 348 |
+
"model_dir": "/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B",
|
| 349 |
+
"_val_dataset_exists": [],
|
| 350 |
+
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 351 |
+
"evaluation_strategy": "steps",
|
| 352 |
+
"training_args": "TrainingArguments(output_dir='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=4, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=2, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=6e-06, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, 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='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=200, 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, 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=True, eval_steps=200.0, dataloader_num_workers=64, dataloader_prefetch_factor=2, past_index=-1, run_name='/mnt-legal2/Qwen3-4B-Embedding-finetuned/v2-20251231-080438', 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': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], project='huggingface', trackio_space_id='trackio', ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, hub_revision=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, 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=18000000, torch_compile=False, torch_compile_backend=None, torch_compile_mode=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=True, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='infonce', metric=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, use_flash_ckpt=False, sft_alpha=0, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='lora', local_repo_path=None, galore_config=None, task_type='embedding', problem_type=None)"
|
| 353 |
+
}
|
checkpoint-2400/optimizer.pt
ADDED
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ADDED
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ADDED
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checkpoint-2400/trainer_state.json
ADDED
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|
| 1 |
+
---
|
| 2 |
+
base_model: /home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.18.0
|
checkpoint-2600/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3ForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.qwen3.modeling_qwen3"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/home/legal/.cache/modelscope/hub/models/Qwen/Qwen3-Embedding-4B",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"layer_replication": null,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"loftq_config": {},
|
| 22 |
+
"lora_alpha": 32,
|
| 23 |
+
"lora_bias": false,
|
| 24 |
+
"lora_dropout": 0.05,
|
| 25 |
+
"megatron_config": null,
|
| 26 |
+
"megatron_core": "megatron.core",
|
| 27 |
+
"modules_to_save": [],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.0",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 8,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"k_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"v_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"up_proj",
|
| 41 |
+
"q_proj"
|
| 42 |
+
],
|
| 43 |
+
"target_parameters": null,
|
| 44 |
+
"task_type": null,
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoint-2600/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06f8d90fdd3283d802fcaef8d874a19603b6741e9f3dd4dce549ed19e00469c3
|
| 3 |
+
size 66126768
|
checkpoint-2600/additional_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
|
checkpoint-2600/args.json
ADDED
|
@@ -0,0 +1,353 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
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|
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