Hugging Face's logo

dccuchile
/
roberta-base-bne-finetuned-pawsx

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Model card Files Metrics Community
1
roberta-base-bne-finetuned-pawsx
File size: 2,911 Bytes 
275cd15
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
113
 
{
  "best_metric": 0.28261637687683105,
  "best_model_checkpoint": "/home/fbravo/data/all_results/pawsx/roberta_base_bne/epochs_3_bs_64_lr_3e-5/checkpoint-900",
  "epoch": 3.0,
  "global_step": 2316,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.39,
      "eval_accuracy": 0.8794999718666077,
      "eval_loss": 0.30226433277130127,
      "eval_runtime": 0.8479,
      "eval_samples_per_second": 2358.837,
      "eval_steps_per_second": 37.741,
      "step": 300
    },
    {
      "epoch": 0.65,
      "learning_rate": 2.3523316062176165e-05,
      "loss": 0.318,
      "step": 500
    },
    {
      "epoch": 0.78,
      "eval_accuracy": 0.8740000128746033,
      "eval_loss": 0.33601614832878113,
      "eval_runtime": 0.8536,
      "eval_samples_per_second": 2343.133,
      "eval_steps_per_second": 37.49,
      "step": 600
    },
    {
      "epoch": 1.17,
      "eval_accuracy": 0.8949999809265137,
      "eval_loss": 0.28261637687683105,
      "eval_runtime": 0.8516,
      "eval_samples_per_second": 2348.387,
      "eval_steps_per_second": 37.574,
      "step": 900
    },
    {
      "epoch": 1.3,
      "learning_rate": 1.705958549222798e-05,
      "loss": 0.1498,
      "step": 1000
    },
    {
      "epoch": 1.55,
      "eval_accuracy": 0.8949999809265137,
      "eval_loss": 0.3580223321914673,
      "eval_runtime": 0.8515,
      "eval_samples_per_second": 2348.84,
      "eval_steps_per_second": 37.581,
      "step": 1200
    },
    {
      "epoch": 1.94,
      "learning_rate": 1.0582901554404146e-05,
      "loss": 0.101,
      "step": 1500
    },
    {
      "epoch": 1.94,
      "eval_accuracy": 0.8899999856948853,
      "eval_loss": 0.33210474252700806,
      "eval_runtime": 0.8482,
      "eval_samples_per_second": 2357.924,
      "eval_steps_per_second": 37.727,
      "step": 1500
    },
    {
      "epoch": 2.33,
      "eval_accuracy": 0.8939999938011169,
      "eval_loss": 0.4253285527229309,
      "eval_runtime": 0.8518,
      "eval_samples_per_second": 2347.886,
      "eval_steps_per_second": 37.566,
      "step": 1800
    },
    {
      "epoch": 2.59,
      "learning_rate": 4.106217616580311e-06,
      "loss": 0.0505,
      "step": 2000
    },
    {
      "epoch": 2.72,
      "eval_accuracy": 0.8985000252723694,
      "eval_loss": 0.39427509903907776,
      "eval_runtime": 0.8509,
      "eval_samples_per_second": 2350.514,
      "eval_steps_per_second": 37.608,
      "step": 2100
    },
    {
      "epoch": 3.0,
      "step": 2316,
      "total_flos": 8004352140640256.0,
      "train_loss": 0.14005086088427607,
      "train_runtime": 226.3922,
      "train_samples_per_second": 654.629,
      "train_steps_per_second": 10.23
    }
  ],
  "max_steps": 2316,
  "num_train_epochs": 3,
  "total_flos": 8004352140640256.0,
  "trial_name": null,
  "trial_params": null
}