Hugging Face's logo

mikhail-panzo
/
zlm_b128_le4_s12000

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Inference Endpoints
Model card Files Metrics Community
zlm_b128_le4_s12000
File size: 2,703 Bytes 
ec1d984
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.4513999819755554,
  "best_model_checkpoint": "mikhail_panzo/zlm_b128_le4_s12000/checkpoint-500",
  "epoch": 0.837696335078534,
  "eval_steps": 500,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.08376963350785341,
      "grad_norm": 2.469545841217041,
      "learning_rate": 2.4500000000000003e-06,
      "loss": 1.0402,
      "step": 50
    },
    {
      "epoch": 0.16753926701570682,
      "grad_norm": 3.3642780780792236,
      "learning_rate": 4.950000000000001e-06,
      "loss": 0.8472,
      "step": 100
    },
    {
      "epoch": 0.2513089005235602,
      "grad_norm": 1.8375087976455688,
      "learning_rate": 7.45e-06,
      "loss": 0.7331,
      "step": 150
    },
    {
      "epoch": 0.33507853403141363,
      "grad_norm": 3.700824737548828,
      "learning_rate": 9.950000000000001e-06,
      "loss": 0.6472,
      "step": 200
    },
    {
      "epoch": 0.418848167539267,
      "grad_norm": 1.7632888555526733,
      "learning_rate": 1.2450000000000001e-05,
      "loss": 0.6112,
      "step": 250
    },
    {
      "epoch": 0.5026178010471204,
      "grad_norm": 3.1861908435821533,
      "learning_rate": 1.4950000000000001e-05,
      "loss": 0.5865,
      "step": 300
    },
    {
      "epoch": 0.5863874345549738,
      "grad_norm": 2.2845046520233154,
      "learning_rate": 1.745e-05,
      "loss": 0.5682,
      "step": 350
    },
    {
      "epoch": 0.6701570680628273,
      "grad_norm": 2.079210042953491,
      "learning_rate": 1.995e-05,
      "loss": 0.5465,
      "step": 400
    },
    {
      "epoch": 0.7539267015706806,
      "grad_norm": 3.669891119003296,
      "learning_rate": 2.245e-05,
      "loss": 0.5302,
      "step": 450
    },
    {
      "epoch": 0.837696335078534,
      "grad_norm": 2.4679417610168457,
      "learning_rate": 2.495e-05,
      "loss": 0.5137,
      "step": 500
    },
    {
      "epoch": 0.837696335078534,
      "eval_loss": 0.4513999819755554,
      "eval_runtime": 277.1074,
      "eval_samples_per_second": 30.634,
      "eval_steps_per_second": 3.832,
      "step": 500
    }
  ],
  "logging_steps": 50,
  "max_steps": 12000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 21,
  "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": 8985136057096320.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}