Hugging Face's logo

THemidli
/
applied-ner-stage3-bert-tiny

Token Classification
Transformers
Safetensors
English
bert
ner
Model card Files
xet
 Community
applied-ner-stage3-bert-tiny
File size: 1,573 Bytes
5bcbd0b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
{
  "stage": 3,
  "dataset_id": "THemidli/applied-ner-stage2-expanded",
  "base_model": "google/bert_uncased_L-2_H-128_A-2",
  "seed": 20260802,
  "labels": [
    "O",
    "B-PERSON",
    "I-PERSON",
    "B-ORGANIZATION",
    "I-ORGANIZATION",
    "B-LOCATION",
    "I-LOCATION",
    "B-TIMEDATE",
    "I-TIMEDATE",
    "B-PRODUCT",
    "I-PRODUCT",
    "B-WORKOFART",
    "I-WORKOFART",
    "B-JOB",
    "I-JOB",
    "B-AMOUNT",
    "I-AMOUNT"
  ],
  "parameter_count": 4371601,
  "trainable_parameter_count": 4371601,
  "device": "mps",
  "platform": "macOS-27.0-arm64-arm-64bit",
  "torch_version": "2.13.0",
  "train_records": 641,
  "test_records": 159,
  "train_chunks": 665,
  "test_chunks": 165,
  "max_length": 256,
  "wall_seconds": 17.78,
  "trainer_metrics": {
    "train_runtime": 17.7226,
    "train_samples_per_second": 750.453,
    "train_steps_per_second": 23.699,
    "total_flos": 6790820960700.0,
    "train_loss": 0.4253458108220782,
    "epoch": 20.0
  },
  "hyperparameters": {
    "epochs": 20,
    "learning_rate": 0.0005,
    "train_batch_size": 32,
    "eval_batch_size": 64,
    "weight_decay": 0.01,
    "warmup_steps": 42,
    "scheduler": "linear"
  },
  "train_overall": {
    "overall_precision": 0.9580712788259959,
    "overall_recall": 0.9725990955041235,
    "overall_f1": 0.9652805280528053,
    "overall_accuracy": 0.9956925601429952
  },
  "test_overall": {
    "overall_precision": 0.42148148148148146,
    "overall_recall": 0.5273401297497683,
    "overall_f1": 0.4685055578427336,
    "overall_accuracy": 0.8269166759125708
  }
}