Hugging Face's logo

magicslabnu
/
NT2-500M-multi_species-finetuned-H3K4me1

Safetensors
esm
custom_code
Model card Files Community
NT2-500M-multi_species-finetuned-H3K4me1
File size: 6,703 Bytes 
b27f104
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
 
{
  "best_metric": 0.511212944984436,
  "best_model_checkpoint": "output_pipe/H3K4me1/origin/checkpoint-800",
  "epoch": 4.0,
  "eval_steps": 200,
  "global_step": 1584,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.25252525252525254,
      "grad_norm": 2.8624508380889893,
      "learning_rate": 2.9022164276401565e-05,
      "loss": 0.6197,
      "step": 100
    },
    {
      "epoch": 0.5050505050505051,
      "grad_norm": 3.410557270050049,
      "learning_rate": 2.7066492829204693e-05,
      "loss": 0.5415,
      "step": 200
    },
    {
      "epoch": 0.5050505050505051,
      "eval_accuracy": 0.7616792929292929,
      "eval_f1": 0.7607729152020279,
      "eval_loss": 0.5343340635299683,
      "eval_matthews_correlation": 0.5216009133490279,
      "eval_precision": 0.7606072333239515,
      "eval_recall": 0.760993823287651,
      "eval_runtime": 1.923,
      "eval_samples_per_second": 1647.436,
      "eval_steps_per_second": 26.001,
      "step": 200
    },
    {
      "epoch": 0.7575757575757576,
      "grad_norm": 1.4580295085906982,
      "learning_rate": 2.511082138200782e-05,
      "loss": 0.5157,
      "step": 300
    },
    {
      "epoch": 1.0101010101010102,
      "grad_norm": 2.2710134983062744,
      "learning_rate": 2.3155149934810953e-05,
      "loss": 0.5295,
      "step": 400
    },
    {
      "epoch": 1.0101010101010102,
      "eval_accuracy": 0.7761994949494949,
      "eval_f1": 0.7725553629449594,
      "eval_loss": 0.5141143202781677,
      "eval_matthews_correlation": 0.5506653820018602,
      "eval_precision": 0.7795613839562128,
      "eval_recall": 0.7711679619732008,
      "eval_runtime": 1.9228,
      "eval_samples_per_second": 1647.574,
      "eval_steps_per_second": 26.003,
      "step": 400
    },
    {
      "epoch": 1.2626262626262625,
      "grad_norm": 1.2207655906677246,
      "learning_rate": 2.119947848761408e-05,
      "loss": 0.4729,
      "step": 500
    },
    {
      "epoch": 1.5151515151515151,
      "grad_norm": 1.5364807844161987,
      "learning_rate": 1.924380704041721e-05,
      "loss": 0.4629,
      "step": 600
    },
    {
      "epoch": 1.5151515151515151,
      "eval_accuracy": 0.7755681818181818,
      "eval_f1": 0.7714154656610406,
      "eval_loss": 0.5175797343254089,
      "eval_matthews_correlation": 0.5500618417358605,
      "eval_precision": 0.7801796351451973,
      "eval_recall": 0.7699768218138402,
      "eval_runtime": 4.2491,
      "eval_samples_per_second": 745.574,
      "eval_steps_per_second": 11.767,
      "step": 600
    },
    {
      "epoch": 1.7676767676767677,
      "grad_norm": 3.395381212234497,
      "learning_rate": 1.728813559322034e-05,
      "loss": 0.4766,
      "step": 700
    },
    {
      "epoch": 2.0202020202020203,
      "grad_norm": 1.879275918006897,
      "learning_rate": 1.533246414602347e-05,
      "loss": 0.4686,
      "step": 800
    },
    {
      "epoch": 2.0202020202020203,
      "eval_accuracy": 0.7746212121212122,
      "eval_f1": 0.7727430555555556,
      "eval_loss": 0.511212944984436,
      "eval_matthews_correlation": 0.5463418750991603,
      "eval_precision": 0.7743439291360682,
      "eval_recall": 0.7720029612344936,
      "eval_runtime": 1.9185,
      "eval_samples_per_second": 1651.262,
      "eval_steps_per_second": 26.062,
      "step": 800
    },
    {
      "epoch": 2.2727272727272725,
      "grad_norm": 4.8738484382629395,
      "learning_rate": 1.3376792698826597e-05,
      "loss": 0.342,
      "step": 900
    },
    {
      "epoch": 2.525252525252525,
      "grad_norm": 2.3210840225219727,
      "learning_rate": 1.1421121251629727e-05,
      "loss": 0.3251,
      "step": 1000
    },
    {
      "epoch": 2.525252525252525,
      "eval_accuracy": 0.7657828282828283,
      "eval_f1": 0.7601378281776338,
      "eval_loss": 0.5649052858352661,
      "eval_matthews_correlation": 0.5320366808458905,
      "eval_precision": 0.7733505537083345,
      "eval_recall": 0.7588828026186666,
      "eval_runtime": 1.9198,
      "eval_samples_per_second": 1650.147,
      "eval_steps_per_second": 26.044,
      "step": 1000
    },
    {
      "epoch": 2.7777777777777777,
      "grad_norm": 5.395249843597412,
      "learning_rate": 9.465449804432857e-06,
      "loss": 0.3096,
      "step": 1100
    },
    {
      "epoch": 3.0303030303030303,
      "grad_norm": 1.488246202468872,
      "learning_rate": 7.509778357235985e-06,
      "loss": 0.3006,
      "step": 1200
    },
    {
      "epoch": 3.0303030303030303,
      "eval_accuracy": 0.7705176767676768,
      "eval_f1": 0.7669679176367754,
      "eval_loss": 0.6334746479988098,
      "eval_matthews_correlation": 0.5388668724823326,
      "eval_precision": 0.773245758524131,
      "eval_recall": 0.7656743034432558,
      "eval_runtime": 1.9184,
      "eval_samples_per_second": 1651.336,
      "eval_steps_per_second": 26.063,
      "step": 1200
    },
    {
      "epoch": 3.282828282828283,
      "grad_norm": 3.6328012943267822,
      "learning_rate": 5.554106910039114e-06,
      "loss": 0.0893,
      "step": 1300
    },
    {
      "epoch": 3.5353535353535355,
      "grad_norm": 3.510218381881714,
      "learning_rate": 3.6179921773142113e-06,
      "loss": 0.0743,
      "step": 1400
    },
    {
      "epoch": 3.5353535353535355,
      "eval_accuracy": 0.76010101010101,
      "eval_f1": 0.7579302456892183,
      "eval_loss": 0.9358654618263245,
      "eval_matthews_correlation": 0.5169954898766244,
      "eval_precision": 0.7598433049182238,
      "eval_recall": 0.7571591527410038,
      "eval_runtime": 1.9208,
      "eval_samples_per_second": 1649.325,
      "eval_steps_per_second": 26.031,
      "step": 1400
    },
    {
      "epoch": 3.787878787878788,
      "grad_norm": 4.385198593139648,
      "learning_rate": 1.6623207301173403e-06,
      "loss": 0.0826,
      "step": 1500
    },
    {
      "epoch": 4.0,
      "step": 1584,
      "total_flos": 2.581211751008796e+16,
      "train_loss": 0.35833474180915137,
      "train_runtime": 278.9972,
      "train_samples_per_second": 363.315,
      "train_steps_per_second": 5.677
    }
  ],
  "logging_steps": 100,
  "max_steps": 1584,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 200,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 2.581211751008796e+16,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}