Hugging Face's logo

JerryFan011018
/
Qwen-Code-7B

TensorBoard
Safetensors
qwen2
4-bit precision
bitsandbytes
Model card Files
xet
 Metrics Community
Qwen-Code-7B
File size: 2,830 Bytes
bba0851
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_global_step": 75,
  "best_metric": 0.35836032032966614,
  "best_model_checkpoint": "/content/output/checkpoint-75",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 75,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.13333333333333333,
      "grad_norm": 0.9156391620635986,
      "learning_rate": 1.7543859649122806e-05,
      "loss": 1.2171,
      "mean_token_accuracy": 0.7375583708286285,
      "num_tokens": 32413.0,
      "step": 10
    },
    {
      "epoch": 0.26666666666666666,
      "grad_norm": 0.815642774105072,
      "learning_rate": 3.508771929824561e-05,
      "loss": 0.9632,
      "mean_token_accuracy": 0.7655525088310242,
      "num_tokens": 64714.0,
      "step": 20
    },
    {
      "epoch": 0.4,
      "grad_norm": 0.39404281973838806,
      "learning_rate": 5.2631578947368424e-05,
      "loss": 0.5951,
      "mean_token_accuracy": 0.8334747165441513,
      "num_tokens": 96352.0,
      "step": 30
    },
    {
      "epoch": 0.5333333333333333,
      "grad_norm": 0.41063451766967773,
      "learning_rate": 7.017543859649122e-05,
      "loss": 0.4305,
      "mean_token_accuracy": 0.8707121074199676,
      "num_tokens": 125717.0,
      "step": 40
    },
    {
      "epoch": 0.6666666666666666,
      "grad_norm": 0.3393928110599518,
      "learning_rate": 8.771929824561403e-05,
      "loss": 0.3874,
      "mean_token_accuracy": 0.8828857451677322,
      "num_tokens": 157446.0,
      "step": 50
    },
    {
      "epoch": 0.8,
      "grad_norm": 0.2939395606517792,
      "learning_rate": 9.905660377358492e-05,
      "loss": 0.3613,
      "mean_token_accuracy": 0.8902347713708878,
      "num_tokens": 187947.0,
      "step": 60
    },
    {
      "epoch": 0.9333333333333333,
      "grad_norm": 0.30780646204948425,
      "learning_rate": 9.59119496855346e-05,
      "loss": 0.3545,
      "mean_token_accuracy": 0.8908359378576278,
      "num_tokens": 219528.0,
      "step": 70
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.35836032032966614,
      "eval_mean_token_accuracy": 0.8900894594192504,
      "eval_num_tokens": 234547.0,
      "eval_runtime": 47.5564,
      "eval_samples_per_second": 2.103,
      "eval_steps_per_second": 0.526,
      "step": 75
    }
  ],
  "logging_steps": 10,
  "max_steps": 375,
  "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": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.3215858968223744e+16,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}