Hugging Face's logo

vipinchaudhry
/
codet5-java-to-csharp-translation

Safetensors
t5
code
Model card Files
xet
 Community
codet5-java-to-csharp-translation
File size: 2,606 Bytes
c95e821
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 3220,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.7766990291262136,
      "grad_norm": 0.9166448712348938,
      "learning_rate": 4.99e-05,
      "loss": 0.7466,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.20546381175518036,
      "eval_runtime": 25.135,
      "eval_samples_per_second": 19.893,
      "eval_steps_per_second": 2.506,
      "step": 644
    },
    {
      "epoch": 1.553009708737864,
      "grad_norm": 0.6259812116622925,
      "learning_rate": 4.082720588235294e-05,
      "loss": 0.2077,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.15930786728858948,
      "eval_runtime": 25.1079,
      "eval_samples_per_second": 19.914,
      "eval_steps_per_second": 2.509,
      "step": 1288
    },
    {
      "epoch": 2.3293203883495144,
      "grad_norm": 0.6516925692558289,
      "learning_rate": 3.1636029411764704e-05,
      "loss": 0.1524,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_loss": 0.14231213927268982,
      "eval_runtime": 25.1096,
      "eval_samples_per_second": 19.913,
      "eval_steps_per_second": 2.509,
      "step": 1932
    },
    {
      "epoch": 3.105631067961165,
      "grad_norm": 0.6181855201721191,
      "learning_rate": 2.2444852941176473e-05,
      "loss": 0.1206,
      "step": 2000
    },
    {
      "epoch": 3.8823300970873786,
      "grad_norm": 0.9624282717704773,
      "learning_rate": 1.3253676470588237e-05,
      "loss": 0.092,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_loss": 0.1376318633556366,
      "eval_runtime": 25.1047,
      "eval_samples_per_second": 19.917,
      "eval_steps_per_second": 2.509,
      "step": 2576
    },
    {
      "epoch": 4.658640776699029,
      "grad_norm": 0.9040796160697937,
      "learning_rate": 4.0625000000000005e-06,
      "loss": 0.083,
      "step": 3000
    }
  ],
  "logging_steps": 500,
  "max_steps": 3220,
  "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": 3.136133136384e+16,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}