Hugging Face's logo

mikhail-panzo
/
fil_b128_le3_s4000

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
fil_b128_le3_s4000
File size: 2,614 Bytes 
cbcb877
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
 
{
  "best_metric": 0.41453465819358826,
  "best_model_checkpoint": "mikhail-panzo/fil_b128_le3_s4000/checkpoint-500",
  "epoch": 44.44444444444444,
  "eval_steps": 500,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 4.444444444444445,
      "grad_norm": 1.5276468992233276,
      "learning_rate": 2.5e-05,
      "loss": 0.7204,
      "step": 50
    },
    {
      "epoch": 8.88888888888889,
      "grad_norm": 1.4177956581115723,
      "learning_rate": 5e-05,
      "loss": 0.5494,
      "step": 100
    },
    {
      "epoch": 13.333333333333334,
      "grad_norm": 3.0381362438201904,
      "learning_rate": 7.5e-05,
      "loss": 0.4948,
      "step": 150
    },
    {
      "epoch": 17.77777777777778,
      "grad_norm": 1.7661292552947998,
      "learning_rate": 0.0001,
      "loss": 0.4734,
      "step": 200
    },
    {
      "epoch": 22.22222222222222,
      "grad_norm": 1.4447826147079468,
      "learning_rate": 0.000125,
      "loss": 0.473,
      "step": 250
    },
    {
      "epoch": 26.666666666666668,
      "grad_norm": 2.745311975479126,
      "learning_rate": 0.00015,
      "loss": 0.464,
      "step": 300
    },
    {
      "epoch": 31.11111111111111,
      "grad_norm": 2.4395411014556885,
      "learning_rate": 0.000175,
      "loss": 0.4593,
      "step": 350
    },
    {
      "epoch": 35.55555555555556,
      "grad_norm": 2.1870596408843994,
      "learning_rate": 0.0002,
      "loss": 0.4452,
      "step": 400
    },
    {
      "epoch": 40.0,
      "grad_norm": 2.9709341526031494,
      "learning_rate": 0.00022500000000000002,
      "loss": 0.4404,
      "step": 450
    },
    {
      "epoch": 44.44444444444444,
      "grad_norm": 3.981621265411377,
      "learning_rate": 0.00025,
      "loss": 0.4367,
      "step": 500
    },
    {
      "epoch": 44.44444444444444,
      "eval_loss": 0.41453465819358826,
      "eval_runtime": 9.8143,
      "eval_samples_per_second": 16.201,
      "eval_steps_per_second": 2.038,
      "step": 500
    }
  ],
  "logging_steps": 50,
  "max_steps": 4000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 364,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.3761741337261632e+16,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}