Hugging Face's logo

TokenfreeEMNLPSubmission
/
mbert-base-finetuned-masakhaner-amh

Token Classification
Transformers
PyTorch
bert
canine
pretrained-on-english-language
Inference Endpoints
Model card Files Community
mbert-base-finetuned-masakhaner-amh
File size: 4,465 Bytes 
3dd362c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.0,
  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/mbert/mbert-base-finetuned-masakhaner-amh/checkpoint-1000",
  "epoch": 36.36363636363637,
  "global_step": 2000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 3.64,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.7014185786247253,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.5028,
      "eval_samples_per_second": 71.372,
      "eval_steps_per_second": 9.136,
      "step": 200
    },
    {
      "epoch": 7.27,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.6971796751022339,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4905,
      "eval_samples_per_second": 71.623,
      "eval_steps_per_second": 9.168,
      "step": 400
    },
    {
      "epoch": 9.09,
      "learning_rate": 4.865771812080537e-05,
      "loss": 0.7264,
      "step": 500
    },
    {
      "epoch": 10.91,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.698952853679657,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4754,
      "eval_samples_per_second": 71.935,
      "eval_steps_per_second": 9.208,
      "step": 600
    },
    {
      "epoch": 14.55,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.708954393863678,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4855,
      "eval_samples_per_second": 71.726,
      "eval_steps_per_second": 9.181,
      "step": 800
    },
    {
      "epoch": 18.18,
      "learning_rate": 4.697986577181208e-05,
      "loss": 0.6917,
      "step": 1000
    },
    {
      "epoch": 18.18,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.6995488405227661,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4744,
      "eval_samples_per_second": 71.955,
      "eval_steps_per_second": 9.21,
      "step": 1000
    },
    {
      "epoch": 21.82,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.698596179485321,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4893,
      "eval_samples_per_second": 71.648,
      "eval_steps_per_second": 9.171,
      "step": 1200
    },
    {
      "epoch": 25.45,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.7002435326576233,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4772,
      "eval_samples_per_second": 71.897,
      "eval_steps_per_second": 9.203,
      "step": 1400
    },
    {
      "epoch": 27.27,
      "learning_rate": 4.530201342281879e-05,
      "loss": 0.6883,
      "step": 1500
    },
    {
      "epoch": 29.09,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.7004148364067078,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4851,
      "eval_samples_per_second": 71.734,
      "eval_steps_per_second": 9.182,
      "step": 1600
    },
    {
      "epoch": 32.73,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.6990127563476562,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4756,
      "eval_samples_per_second": 71.93,
      "eval_steps_per_second": 9.207,
      "step": 1800
    },
    {
      "epoch": 36.36,
      "learning_rate": 4.36241610738255e-05,
      "loss": 0.6889,
      "step": 2000
    },
    {
      "epoch": 36.36,
      "eval_accuracy_score": 0.8425259792166268,
      "eval_f1": 0.0,
      "eval_loss": 0.6986844539642334,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.4585,
      "eval_samples_per_second": 72.285,
      "eval_steps_per_second": 9.253,
      "step": 2000
    },
    {
      "epoch": 36.36,
      "step": 2000,
      "total_flos": 8314988993187840.0,
      "train_loss": 0.6987884674072266,
      "train_runtime": 2254.7389,
      "train_samples_per_second": 212.885,
      "train_steps_per_second": 6.653
    }
  ],
  "max_steps": 15000,
  "num_train_epochs": 273,
  "total_flos": 8314988993187840.0,
  "trial_name": null,
  "trial_params": null
}