Hugging Face's logo

GuntramG
/
autotrain-kno3k-fiasf

Image Classification
Transformers
Safetensors
convnextv2
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autotrain-kno3k-fiasf
File size: 4,926 Bytes 
0b47bca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
 
{
  "best_metric": 0.02586853690445423,
  "best_model_checkpoint": "autotrain-kno3k-fiasf/checkpoint-678",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 678,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.2,
      "grad_norm": 10.68883228302002,
      "learning_rate": 3.0882352941176475e-05,
      "loss": 0.8263,
      "step": 45
    },
    {
      "epoch": 0.4,
      "grad_norm": 58.380653381347656,
      "learning_rate": 4.852459016393443e-05,
      "loss": 0.2512,
      "step": 90
    },
    {
      "epoch": 0.6,
      "grad_norm": 0.1297217607498169,
      "learning_rate": 4.491803278688525e-05,
      "loss": 0.1081,
      "step": 135
    },
    {
      "epoch": 0.8,
      "grad_norm": 0.23067115247249603,
      "learning_rate": 4.122950819672131e-05,
      "loss": 0.1776,
      "step": 180
    },
    {
      "epoch": 1.0,
      "grad_norm": 0.0700414851307869,
      "learning_rate": 3.754098360655738e-05,
      "loss": 0.0775,
      "step": 225
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9844530816213215,
      "eval_f1_macro": 0.9790876623736272,
      "eval_f1_micro": 0.9844530816213215,
      "eval_f1_weighted": 0.9845629146174618,
      "eval_loss": 0.05487915500998497,
      "eval_precision_macro": 0.9728622841711356,
      "eval_precision_micro": 0.9844530816213215,
      "eval_precision_weighted": 0.9849390553498074,
      "eval_recall_macro": 0.9856721822982112,
      "eval_recall_micro": 0.9844530816213215,
      "eval_recall_weighted": 0.9844530816213215,
      "eval_runtime": 10.4593,
      "eval_samples_per_second": 172.191,
      "eval_steps_per_second": 10.804,
      "step": 226
    },
    {
      "epoch": 1.19,
      "grad_norm": 0.03147374466061592,
      "learning_rate": 3.39344262295082e-05,
      "loss": 0.1134,
      "step": 270
    },
    {
      "epoch": 1.39,
      "grad_norm": 0.15661084651947021,
      "learning_rate": 3.0245901639344264e-05,
      "loss": 0.069,
      "step": 315
    },
    {
      "epoch": 1.59,
      "grad_norm": 0.04975114390254021,
      "learning_rate": 2.6557377049180327e-05,
      "loss": 0.0821,
      "step": 360
    },
    {
      "epoch": 1.79,
      "grad_norm": 0.02913733199238777,
      "learning_rate": 2.2868852459016393e-05,
      "loss": 0.0636,
      "step": 405
    },
    {
      "epoch": 1.99,
      "grad_norm": 0.03793076425790787,
      "learning_rate": 1.918032786885246e-05,
      "loss": 0.135,
      "step": 450
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9922265408106608,
      "eval_f1_macro": 0.9885732001605064,
      "eval_f1_micro": 0.9922265408106608,
      "eval_f1_weighted": 0.9922495320181636,
      "eval_loss": 0.0289547611027956,
      "eval_precision_macro": 0.9857016924464328,
      "eval_precision_micro": 0.9922265408106608,
      "eval_precision_weighted": 0.9923116897185307,
      "eval_recall_macro": 0.991509527641691,
      "eval_recall_micro": 0.9922265408106608,
      "eval_recall_weighted": 0.9922265408106608,
      "eval_runtime": 10.5141,
      "eval_samples_per_second": 171.294,
      "eval_steps_per_second": 10.747,
      "step": 452
    },
    {
      "epoch": 2.19,
      "grad_norm": 23.56169891357422,
      "learning_rate": 1.5491803278688525e-05,
      "loss": 0.0508,
      "step": 495
    },
    {
      "epoch": 2.39,
      "grad_norm": 0.0823952853679657,
      "learning_rate": 1.1803278688524591e-05,
      "loss": 0.0443,
      "step": 540
    },
    {
      "epoch": 2.59,
      "grad_norm": 0.025019163265824318,
      "learning_rate": 8.114754098360657e-06,
      "loss": 0.1144,
      "step": 585
    },
    {
      "epoch": 2.79,
      "grad_norm": 0.830748975276947,
      "learning_rate": 4.426229508196722e-06,
      "loss": 0.0624,
      "step": 630
    },
    {
      "epoch": 2.99,
      "grad_norm": 1.670173168182373,
      "learning_rate": 7.377049180327869e-07,
      "loss": 0.131,
      "step": 675
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9938922820655192,
      "eval_f1_macro": 0.990657441189161,
      "eval_f1_micro": 0.9938922820655192,
      "eval_f1_weighted": 0.9939035669908675,
      "eval_loss": 0.02586853690445423,
      "eval_precision_macro": 0.9889770605232528,
      "eval_precision_micro": 0.9938922820655192,
      "eval_precision_weighted": 0.9939283176272281,
      "eval_recall_macro": 0.9923605914714783,
      "eval_recall_micro": 0.9938922820655192,
      "eval_recall_weighted": 0.9938922820655192,
      "eval_runtime": 10.4887,
      "eval_samples_per_second": 171.709,
      "eval_steps_per_second": 10.774,
      "step": 678
    }
  ],
  "logging_steps": 45,
  "max_steps": 678,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 1.3599465039988531e+17,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}