Hugging Face's logo

med-alex
/
xlm-roberta-large-ft-qa-ru-mt-to-kaz

Question Answering
Transformers
TensorBoard
Safetensors
Kazakh
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
xlm-roberta-large-ft-qa-ru-mt-to-kaz
File size: 3,940 Bytes 
e4d97ef
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 80.76073976371114,
  "best_model_checkpoint": "/root/turkic_qa/ru_kaz_models/ru_kaz_xlm_roberta_large_model/checkpoint-2208",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2760,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "step": 552,
      "train_exact_match": 58.94105894105894,
      "train_f1": 78.59308014289637,
      "train_runtime": 23.2375,
      "train_samples_per_second": 43.722,
      "train_steps_per_second": 1.592
    },
    {
      "epoch": 1.0,
      "grad_norm": 83.0545425415039,
      "learning_rate": 1e-05,
      "loss": 2.9982,
      "step": 552
    },
    {
      "epoch": 1.0,
      "eval_exact_match": 57.84375,
      "eval_f1": 76.41032874262423,
      "eval_runtime": 74.7526,
      "eval_samples_per_second": 43.891,
      "eval_steps_per_second": 1.579,
      "step": 552
    },
    {
      "epoch": 2.0,
      "step": 1104,
      "train_exact_match": 73.52647352647352,
      "train_f1": 87.35432090211079,
      "train_runtime": 23.6437,
      "train_samples_per_second": 43.479,
      "train_steps_per_second": 1.565
    },
    {
      "epoch": 2.0,
      "grad_norm": 65.99756622314453,
      "learning_rate": 7.500000000000001e-06,
      "loss": 1.0802,
      "step": 1104
    },
    {
      "epoch": 2.0,
      "eval_exact_match": 62.90625,
      "eval_f1": 79.63501935340823,
      "eval_runtime": 75.6962,
      "eval_samples_per_second": 43.344,
      "eval_steps_per_second": 1.559,
      "step": 1104
    },
    {
      "epoch": 3.0,
      "step": 1656,
      "train_exact_match": 77.22277722277722,
      "train_f1": 90.8541682004209,
      "train_runtime": 23.3536,
      "train_samples_per_second": 43.548,
      "train_steps_per_second": 1.584
    },
    {
      "epoch": 3.0,
      "grad_norm": 94.93318939208984,
      "learning_rate": 5e-06,
      "loss": 0.7755,
      "step": 1656
    },
    {
      "epoch": 3.0,
      "eval_exact_match": 63.40625,
      "eval_f1": 79.91103921274045,
      "eval_runtime": 75.0081,
      "eval_samples_per_second": 43.742,
      "eval_steps_per_second": 1.573,
      "step": 1656
    },
    {
      "epoch": 4.0,
      "step": 2208,
      "train_exact_match": 82.81718281718281,
      "train_f1": 93.85897538338976,
      "train_runtime": 23.3033,
      "train_samples_per_second": 43.513,
      "train_steps_per_second": 1.588
    },
    {
      "epoch": 4.0,
      "grad_norm": 181.9861297607422,
      "learning_rate": 2.5e-06,
      "loss": 0.584,
      "step": 2208
    },
    {
      "epoch": 4.0,
      "eval_exact_match": 63.96875,
      "eval_f1": 80.76073976371114,
      "eval_runtime": 74.9415,
      "eval_samples_per_second": 43.781,
      "eval_steps_per_second": 1.575,
      "step": 2208
    },
    {
      "epoch": 5.0,
      "step": 2760,
      "train_exact_match": 85.81418581418582,
      "train_f1": 95.18484768485531,
      "train_runtime": 23.5964,
      "train_samples_per_second": 43.312,
      "train_steps_per_second": 1.568
    },
    {
      "epoch": 5.0,
      "grad_norm": 45.12015914916992,
      "learning_rate": 0.0,
      "loss": 0.4601,
      "step": 2760
    },
    {
      "epoch": 5.0,
      "eval_exact_match": 64.4375,
      "eval_f1": 80.75596391907597,
      "eval_runtime": 75.7078,
      "eval_samples_per_second": 43.338,
      "eval_steps_per_second": 1.559,
      "step": 2760
    },
    {
      "epoch": 5.0,
      "step": 2760,
      "total_flos": 5.376168689054976e+16,
      "train_loss": 1.1795940786168195,
      "train_runtime": 4973.0116,
      "train_samples_per_second": 15.521,
      "train_steps_per_second": 0.555
    }
  ],
  "logging_steps": 500,
  "max_steps": 2760,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 5.376168689054976e+16,
  "train_batch_size": 28,
  "trial_name": null,
  "trial_params": null
}