File size: 1,420 Bytes
27c5a4b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
{
  "adapter_model_sha256": "e84a82e9347f3cf1b46b1d2768b7a76433f8b2d5ee0d572d1a446a57d040adeb",
  "base_model": "meta-llama/Llama-3.2-3B-Instruct",
  "dataset_release_label": "e2e",
  "hyperparameters": {
    "bf16": true,
    "dataset": [
      "triple_error_train"
    ],
    "dataset_num_proc": 1,
    "eval_steps": 279,
    "fp16": false,
    "gradient_accumulation_steps": 4,
    "gradient_checkpointing": true,
    "learning_rate": 5e-05,
    "logging_steps": 93,
    "lora_alpha": 32,
    "lora_dropout": 0.05,
    "lora_rank": 16,
    "max_length": 1024,
    "max_new_tokens": 64,
    "model": "meta-llama/Llama-3.2-3B-Instruct",
    "model_type": "llama3_2",
    "num_train_epochs": 16,
    "per_device_eval_batch_size": 4,
    "per_device_train_batch_size": 4,
    "save_steps": 279,
    "save_total_limit": 3,
    "seed": 2023,
    "system": "Identify extra, missing and incorrect triples precisely.",
    "target_modules": [
      "all-linear"
    ],
    "template": "llama3_2",
    "torch_dtype": "bfloat16",
    "train_type": "lora",
    "warmup_ratio": 0.0625,
    "weight_decay": 0.01
  },
  "repository": "xqdt-e2e-llama3.2-3b",
  "schema_version": 1,
  "source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_llama3_3b_e2e19/v0-20260214-225224/checkpoint-6975",
  "source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
  "training_scope": "joint WebNLG and E2E synthetic data"
}