Hugging Face's logo

mikhail-panzo
/
zlm_b64_le4_s12000

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
zlm_b64_le4_s12000
File size: 2,651 Bytes 
286ec5a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.47458764910697937,
  "best_model_checkpoint": "mikhail_panzo/zlm_b64_le4_s12000/checkpoint-500",
  "epoch": 0.4187604690117253,
  "eval_steps": 500,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.04187604690117253,
      "grad_norm": 3.0184223651885986,
      "learning_rate": 2.35e-06,
      "loss": 1.1206,
      "step": 50
    },
    {
      "epoch": 0.08375209380234507,
      "grad_norm": 3.4442005157470703,
      "learning_rate": 4.85e-06,
      "loss": 0.8185,
      "step": 100
    },
    {
      "epoch": 0.12562814070351758,
      "grad_norm": 2.6812493801116943,
      "learning_rate": 7.35e-06,
      "loss": 0.7576,
      "step": 150
    },
    {
      "epoch": 0.16750418760469013,
      "grad_norm": 4.518482685089111,
      "learning_rate": 9.85e-06,
      "loss": 0.6938,
      "step": 200
    },
    {
      "epoch": 0.20938023450586266,
      "grad_norm": 4.683146953582764,
      "learning_rate": 1.235e-05,
      "loss": 0.6386,
      "step": 250
    },
    {
      "epoch": 0.25125628140703515,
      "grad_norm": 2.7392578125,
      "learning_rate": 1.485e-05,
      "loss": 0.6226,
      "step": 300
    },
    {
      "epoch": 0.2931323283082077,
      "grad_norm": 2.017056465148926,
      "learning_rate": 1.7349999999999998e-05,
      "loss": 0.6128,
      "step": 350
    },
    {
      "epoch": 0.33500837520938026,
      "grad_norm": 3.6669230461120605,
      "learning_rate": 1.985e-05,
      "loss": 0.5675,
      "step": 400
    },
    {
      "epoch": 0.3768844221105528,
      "grad_norm": 4.16896915435791,
      "learning_rate": 2.235e-05,
      "loss": 0.5655,
      "step": 450
    },
    {
      "epoch": 0.4187604690117253,
      "grad_norm": 3.691459894180298,
      "learning_rate": 2.485e-05,
      "loss": 0.5487,
      "step": 500
    },
    {
      "epoch": 0.4187604690117253,
      "eval_loss": 0.47458764910697937,
      "eval_runtime": 214.7196,
      "eval_samples_per_second": 39.535,
      "eval_steps_per_second": 4.946,
      "step": 500
    }
  ],
  "logging_steps": 50,
  "max_steps": 12000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 11,
  "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": 4873240581631488.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}