Hugging Face's logo

A-POR-LOS-8000
/
distilhubert-finetuned-cry-detector

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
distilhubert-finetuned-cry-detector
File size: 2,547 Bytes 
925fa09
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9607843137254902,
  "best_model_checkpoint": "distilhubert-finetuned-cry-detector/checkpoint-38",
  "epoch": 3.764705882352941,
  "eval_steps": 500,
  "global_step": 48,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9411764705882353,
      "eval_accuracy": 0.9509803921568627,
      "eval_f1": 0.9509803921568627,
      "eval_loss": 0.19337645173072815,
      "eval_precision": 0.9509803921568627,
      "eval_recall": 0.9509803921568627,
      "eval_runtime": 2.9937,
      "eval_samples_per_second": 68.144,
      "eval_steps_per_second": 8.685,
      "step": 12
    },
    {
      "epoch": 1.9607843137254903,
      "eval_accuracy": 0.9558823529411765,
      "eval_f1": 0.9558168094824137,
      "eval_loss": 0.11207430809736252,
      "eval_precision": 0.9558008500901145,
      "eval_recall": 0.9558823529411765,
      "eval_runtime": 2.9789,
      "eval_samples_per_second": 68.481,
      "eval_steps_per_second": 8.728,
      "step": 25
    },
    {
      "epoch": 2.980392156862745,
      "eval_accuracy": 0.9607843137254902,
      "eval_f1": 0.9608937528499771,
      "eval_loss": 0.08983828127384186,
      "eval_precision": 0.9611995291537668,
      "eval_recall": 0.9607843137254902,
      "eval_runtime": 2.927,
      "eval_samples_per_second": 69.695,
      "eval_steps_per_second": 8.883,
      "step": 38
    },
    {
      "epoch": 3.764705882352941,
      "eval_accuracy": 0.9607843137254902,
      "eval_f1": 0.9608937528499771,
      "eval_loss": 0.08819077908992767,
      "eval_precision": 0.9611995291537668,
      "eval_recall": 0.9607843137254902,
      "eval_runtime": 2.9979,
      "eval_samples_per_second": 68.049,
      "eval_steps_per_second": 8.673,
      "step": 48
    }
  ],
  "logging_steps": 500,
  "max_steps": 48,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 4.949539760497344e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}