Hugging Face's logo

syke9p3
/
bert-multilabel-tagalog-hate-speech-classifier

Text Classification
Transformers
ONNX
Safetensors
Tagalog
English
bert
nlp
language
Inference Endpoints
Model card Files Community
bert-multilabel-tagalog-hate-speech-classifier
File size: 2,592 Bytes 
3da74c2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
 
{
  "best_metric": 0.876997915218902,
  "best_model_checkpoint": "bert-multilabel-tagalog-hate-speech-classifier/checkpoint-790",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 790,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.4650793650793651,
      "eval_f1": 0.6538124452234881,
      "eval_loss": 0.2858085036277771,
      "eval_roc_auc": 0.749062395824874,
      "eval_runtime": 16.739,
      "eval_samples_per_second": 37.637,
      "eval_steps_per_second": 4.72,
      "step": 158
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7285714285714285,
      "eval_f1": 0.8368690563277249,
      "eval_loss": 0.1806272566318512,
      "eval_roc_auc": 0.8807496256986324,
      "eval_runtime": 16.7646,
      "eval_samples_per_second": 37.579,
      "eval_steps_per_second": 4.712,
      "step": 316
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7682539682539683,
      "eval_f1": 0.8638631503920171,
      "eval_loss": 0.14880089461803436,
      "eval_roc_auc": 0.9036774632664203,
      "eval_runtime": 17.0606,
      "eval_samples_per_second": 36.927,
      "eval_steps_per_second": 4.631,
      "step": 474
    },
    {
      "epoch": 3.1645569620253164,
      "grad_norm": 1.8442691564559937,
      "learning_rate": 7.341772151898735e-06,
      "loss": 0.2518,
      "step": 500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7761904761904762,
      "eval_f1": 0.8720848056537103,
      "eval_loss": 0.14489033818244934,
      "eval_roc_auc": 0.911037414882052,
      "eval_runtime": 17.6671,
      "eval_samples_per_second": 35.66,
      "eval_steps_per_second": 4.472,
      "step": 632
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.780952380952381,
      "eval_f1": 0.876997915218902,
      "eval_loss": 0.13758358359336853,
      "eval_roc_auc": 0.9189734563461635,
      "eval_runtime": 17.8108,
      "eval_samples_per_second": 35.372,
      "eval_steps_per_second": 4.436,
      "step": 790
    }
  ],
  "logging_steps": 500,
  "max_steps": 790,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 414414795110400.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}