Hugging Face's logo

abhinavp
/
checkpoints

Text Generation
Transformers
PyTorch
opt
text-generation-inference
Inference Endpoints
Model card Files Community
1
checkpoints
File size: 4,010 Bytes 
bb4790a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 6.849837779998779,
  "best_model_checkpoint": "/mmfs1/gscratch/stf/abhinavp/corpus-filtering/lm-training/src/outputs/2023-11-15/09-23-00/checkpoints/checkpoint-110",
  "epoch": 0.88,
  "eval_steps": 10,
  "global_step": 110,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.08,
      "learning_rate": 4.866666666666667e-05,
      "loss": 9.9717,
      "step": 10
    },
    {
      "epoch": 0.08,
      "eval_loss": 9.324381828308105,
      "eval_runtime": 2.0042,
      "eval_samples_per_second": 498.949,
      "eval_steps_per_second": 62.369,
      "step": 10
    },
    {
      "epoch": 0.16,
      "learning_rate": 4.7333333333333336e-05,
      "loss": 9.1002,
      "step": 20
    },
    {
      "epoch": 0.16,
      "eval_loss": 8.892333984375,
      "eval_runtime": 1.9424,
      "eval_samples_per_second": 514.829,
      "eval_steps_per_second": 64.354,
      "step": 20
    },
    {
      "epoch": 0.24,
      "learning_rate": 4.600000000000001e-05,
      "loss": 8.7625,
      "step": 30
    },
    {
      "epoch": 0.24,
      "eval_loss": 8.54922103881836,
      "eval_runtime": 1.9052,
      "eval_samples_per_second": 524.878,
      "eval_steps_per_second": 65.61,
      "step": 30
    },
    {
      "epoch": 0.32,
      "learning_rate": 4.466666666666667e-05,
      "loss": 8.4987,
      "step": 40
    },
    {
      "epoch": 0.32,
      "eval_loss": 8.234408378601074,
      "eval_runtime": 2.0895,
      "eval_samples_per_second": 478.585,
      "eval_steps_per_second": 59.823,
      "step": 40
    },
    {
      "epoch": 0.4,
      "learning_rate": 4.3333333333333334e-05,
      "loss": 8.2485,
      "step": 50
    },
    {
      "epoch": 0.4,
      "eval_loss": 7.941398620605469,
      "eval_runtime": 2.1108,
      "eval_samples_per_second": 473.76,
      "eval_steps_per_second": 59.22,
      "step": 50
    },
    {
      "epoch": 0.48,
      "learning_rate": 4.2e-05,
      "loss": 8.0802,
      "step": 60
    },
    {
      "epoch": 0.48,
      "eval_loss": 7.663424968719482,
      "eval_runtime": 1.991,
      "eval_samples_per_second": 502.251,
      "eval_steps_per_second": 62.781,
      "step": 60
    },
    {
      "epoch": 0.56,
      "learning_rate": 4.066666666666667e-05,
      "loss": 7.7924,
      "step": 70
    },
    {
      "epoch": 0.56,
      "eval_loss": 7.419986724853516,
      "eval_runtime": 1.9753,
      "eval_samples_per_second": 506.241,
      "eval_steps_per_second": 63.28,
      "step": 70
    },
    {
      "epoch": 0.64,
      "learning_rate": 3.933333333333333e-05,
      "loss": 7.5139,
      "step": 80
    },
    {
      "epoch": 0.64,
      "eval_loss": 7.188984394073486,
      "eval_runtime": 1.9721,
      "eval_samples_per_second": 507.08,
      "eval_steps_per_second": 63.385,
      "step": 80
    },
    {
      "epoch": 0.72,
      "learning_rate": 3.8e-05,
      "loss": 7.3932,
      "step": 90
    },
    {
      "epoch": 0.72,
      "eval_loss": 7.042924880981445,
      "eval_runtime": 2.0739,
      "eval_samples_per_second": 482.185,
      "eval_steps_per_second": 60.273,
      "step": 90
    },
    {
      "epoch": 0.8,
      "learning_rate": 3.6666666666666666e-05,
      "loss": 7.334,
      "step": 100
    },
    {
      "epoch": 0.8,
      "eval_loss": 6.937138557434082,
      "eval_runtime": 2.0003,
      "eval_samples_per_second": 499.914,
      "eval_steps_per_second": 62.489,
      "step": 100
    },
    {
      "epoch": 0.88,
      "learning_rate": 3.5333333333333336e-05,
      "loss": 7.1699,
      "step": 110
    },
    {
      "epoch": 0.88,
      "eval_loss": 6.849837779998779,
      "eval_runtime": 2.0147,
      "eval_samples_per_second": 496.356,
      "eval_steps_per_second": 62.045,
      "step": 110
    }
  ],
  "logging_steps": 10,
  "max_steps": 375,
  "num_train_epochs": 3,
  "save_steps": 10,
  "total_flos": 13034123182080.0,
  "trial_name": null,
  "trial_params": null
}