Hugging Face's logo

xiaothung
/
t5-base-bt0

Transformers
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files
xet
Community
t5-base-bt0
File size: 4,166 Bytes 
e9a3055
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 20.9461,
  "best_model_checkpoint": "/content/gdrive/MyDrive/FYP/Models/t5-base-bt0/checkpoint-6000",
  "epoch": 1.5783540022547915,
  "eval_steps": 1000,
  "global_step": 7000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.23,
      "grad_norm": 0.237862229347229,
      "learning_rate": 2.7749718151071025e-05,
      "loss": 0.162,
      "step": 1000
    },
    {
      "epoch": 0.23,
      "eval_gen_len": 8.6155,
      "eval_loss": 0.14371667802333832,
      "eval_rouge1": 19.4503,
      "eval_rouge2": 5.4909,
      "eval_rougeL": 19.2468,
      "eval_rougeLsum": 19.2536,
      "eval_runtime": 278.2764,
      "eval_samples_per_second": 10.393,
      "eval_steps_per_second": 1.301,
      "step": 1000
    },
    {
      "epoch": 0.45,
      "grad_norm": 0.19609051942825317,
      "learning_rate": 2.5501691093573846e-05,
      "loss": 0.1496,
      "step": 2000
    },
    {
      "epoch": 0.45,
      "eval_gen_len": 8.2244,
      "eval_loss": 0.14119617640972137,
      "eval_rouge1": 19.988,
      "eval_rouge2": 5.6128,
      "eval_rougeL": 19.6697,
      "eval_rougeLsum": 19.6661,
      "eval_runtime": 274.1608,
      "eval_samples_per_second": 10.549,
      "eval_steps_per_second": 1.32,
      "step": 2000
    },
    {
      "epoch": 0.68,
      "grad_norm": 0.1622067540884018,
      "learning_rate": 2.3255918827508456e-05,
      "loss": 0.1482,
      "step": 3000
    },
    {
      "epoch": 0.68,
      "eval_gen_len": 8.3513,
      "eval_loss": 0.13958066701889038,
      "eval_rouge1": 20.4724,
      "eval_rouge2": 5.918,
      "eval_rougeL": 20.1806,
      "eval_rougeLsum": 20.1879,
      "eval_runtime": 273.1755,
      "eval_samples_per_second": 10.587,
      "eval_steps_per_second": 1.325,
      "step": 3000
    },
    {
      "epoch": 0.9,
      "grad_norm": 0.22670583426952362,
      "learning_rate": 2.1003382187147688e-05,
      "loss": 0.1477,
      "step": 4000
    },
    {
      "epoch": 0.9,
      "eval_gen_len": 8.5363,
      "eval_loss": 0.1383427083492279,
      "eval_rouge1": 20.0921,
      "eval_rouge2": 5.7649,
      "eval_rougeL": 19.8454,
      "eval_rougeLsum": 19.8533,
      "eval_runtime": 273.0415,
      "eval_samples_per_second": 10.592,
      "eval_steps_per_second": 1.326,
      "step": 4000
    },
    {
      "epoch": 1.13,
      "grad_norm": 0.2830670475959778,
      "learning_rate": 1.8753100338218713e-05,
      "loss": 0.1432,
      "step": 5000
    },
    {
      "epoch": 1.13,
      "eval_gen_len": 8.3544,
      "eval_loss": 0.13800442218780518,
      "eval_rouge1": 20.5887,
      "eval_rouge2": 6.0275,
      "eval_rougeL": 20.2746,
      "eval_rougeLsum": 20.2963,
      "eval_runtime": 274.4284,
      "eval_samples_per_second": 10.538,
      "eval_steps_per_second": 1.319,
      "step": 5000
    },
    {
      "epoch": 1.35,
      "grad_norm": 0.3157794177532196,
      "learning_rate": 1.6507328072153326e-05,
      "loss": 0.1389,
      "step": 6000
    },
    {
      "epoch": 1.35,
      "eval_gen_len": 8.4136,
      "eval_loss": 0.13757741451263428,
      "eval_rouge1": 20.9461,
      "eval_rouge2": 6.3797,
      "eval_rougeL": 20.7292,
      "eval_rougeLsum": 20.7592,
      "eval_runtime": 272.1466,
      "eval_samples_per_second": 10.627,
      "eval_steps_per_second": 1.33,
      "step": 6000
    },
    {
      "epoch": 1.58,
      "grad_norm": 0.2532835900783539,
      "learning_rate": 1.4259301014656145e-05,
      "loss": 0.1393,
      "step": 7000
    },
    {
      "epoch": 1.58,
      "eval_gen_len": 8.2206,
      "eval_loss": 0.1370321363210678,
      "eval_rouge1": 20.2115,
      "eval_rouge2": 5.8953,
      "eval_rougeL": 19.9895,
      "eval_rougeLsum": 20.0005,
      "eval_runtime": 269.4813,
      "eval_samples_per_second": 10.732,
      "eval_steps_per_second": 1.343,
      "step": 7000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 13305,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 1000,
  "total_flos": 3.409981499768832e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}