tcwong commited on
Commit
34edbb4
1 Parent(s): d27e39f

Upload 10 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: google/byt5-small
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/byt5-small",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 1024,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 512,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q",
24
+ "wo",
25
+ "wi_1",
26
+ "o",
27
+ "wi_0",
28
+ "k",
29
+ "v"
30
+ ],
31
+ "task_type": "SEQ_2_SEQ_LM",
32
+ "use_dora": true,
33
+ "use_rslora": true
34
+ }
added_tokens.json ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<extra_id_0>": 259,
3
+ "<extra_id_100>": 359,
4
+ "<extra_id_101>": 360,
5
+ "<extra_id_102>": 361,
6
+ "<extra_id_103>": 362,
7
+ "<extra_id_104>": 363,
8
+ "<extra_id_105>": 364,
9
+ "<extra_id_106>": 365,
10
+ "<extra_id_107>": 366,
11
+ "<extra_id_108>": 367,
12
+ "<extra_id_109>": 368,
13
+ "<extra_id_10>": 269,
14
+ "<extra_id_110>": 369,
15
+ "<extra_id_111>": 370,
16
+ "<extra_id_112>": 371,
17
+ "<extra_id_113>": 372,
18
+ "<extra_id_114>": 373,
19
+ "<extra_id_115>": 374,
20
+ "<extra_id_116>": 375,
21
+ "<extra_id_117>": 376,
22
+ "<extra_id_118>": 377,
23
+ "<extra_id_119>": 378,
24
+ "<extra_id_11>": 270,
25
+ "<extra_id_120>": 379,
26
+ "<extra_id_121>": 380,
27
+ "<extra_id_122>": 381,
28
+ "<extra_id_123>": 382,
29
+ "<extra_id_124>": 383,
30
+ "<extra_id_12>": 271,
31
+ "<extra_id_13>": 272,
32
+ "<extra_id_14>": 273,
33
+ "<extra_id_15>": 274,
34
+ "<extra_id_16>": 275,
35
+ "<extra_id_17>": 276,
36
+ "<extra_id_18>": 277,
37
+ "<extra_id_19>": 278,
38
+ "<extra_id_1>": 260,
39
+ "<extra_id_20>": 279,
40
+ "<extra_id_21>": 280,
41
+ "<extra_id_22>": 281,
42
+ "<extra_id_23>": 282,
43
+ "<extra_id_24>": 283,
44
+ "<extra_id_25>": 284,
45
+ "<extra_id_26>": 285,
46
+ "<extra_id_27>": 286,
47
+ "<extra_id_28>": 287,
48
+ "<extra_id_29>": 288,
49
+ "<extra_id_2>": 261,
50
+ "<extra_id_30>": 289,
51
+ "<extra_id_31>": 290,
52
+ "<extra_id_32>": 291,
53
+ "<extra_id_33>": 292,
54
+ "<extra_id_34>": 293,
55
+ "<extra_id_35>": 294,
56
+ "<extra_id_36>": 295,
57
+ "<extra_id_37>": 296,
58
+ "<extra_id_38>": 297,
59
+ "<extra_id_39>": 298,
60
+ "<extra_id_3>": 262,
61
+ "<extra_id_40>": 299,
62
+ "<extra_id_41>": 300,
63
+ "<extra_id_42>": 301,
64
+ "<extra_id_43>": 302,
65
+ "<extra_id_44>": 303,
66
+ "<extra_id_45>": 304,
67
+ "<extra_id_46>": 305,
68
+ "<extra_id_47>": 306,
69
+ "<extra_id_48>": 307,
70
+ "<extra_id_49>": 308,
71
+ "<extra_id_4>": 263,
72
+ "<extra_id_50>": 309,
73
+ "<extra_id_51>": 310,
74
+ "<extra_id_52>": 311,
75
+ "<extra_id_53>": 312,
76
+ "<extra_id_54>": 313,
77
+ "<extra_id_55>": 314,
78
+ "<extra_id_56>": 315,
79
+ "<extra_id_57>": 316,
80
+ "<extra_id_58>": 317,
81
+ "<extra_id_59>": 318,
82
+ "<extra_id_5>": 264,
83
+ "<extra_id_60>": 319,
84
+ "<extra_id_61>": 320,
85
+ "<extra_id_62>": 321,
86
+ "<extra_id_63>": 322,
87
+ "<extra_id_64>": 323,
88
+ "<extra_id_65>": 324,
89
+ "<extra_id_66>": 325,
90
+ "<extra_id_67>": 326,
91
+ "<extra_id_68>": 327,
92
+ "<extra_id_69>": 328,
93
+ "<extra_id_6>": 265,
94
+ "<extra_id_70>": 329,
95
+ "<extra_id_71>": 330,
96
+ "<extra_id_72>": 331,
97
+ "<extra_id_73>": 332,
98
+ "<extra_id_74>": 333,
99
+ "<extra_id_75>": 334,
100
+ "<extra_id_76>": 335,
101
+ "<extra_id_77>": 336,
102
+ "<extra_id_78>": 337,
103
+ "<extra_id_79>": 338,
104
+ "<extra_id_7>": 266,
105
+ "<extra_id_80>": 339,
106
+ "<extra_id_81>": 340,
107
+ "<extra_id_82>": 341,
108
+ "<extra_id_83>": 342,
109
+ "<extra_id_84>": 343,
110
+ "<extra_id_85>": 344,
111
+ "<extra_id_86>": 345,
112
+ "<extra_id_87>": 346,
113
+ "<extra_id_88>": 347,
114
+ "<extra_id_89>": 348,
115
+ "<extra_id_8>": 267,
116
+ "<extra_id_90>": 349,
117
+ "<extra_id_91>": 350,
118
+ "<extra_id_92>": 351,
119
+ "<extra_id_93>": 352,
120
+ "<extra_id_94>": 353,
121
+ "<extra_id_95>": 354,
122
+ "<extra_id_96>": 355,
123
+ "<extra_id_97>": 356,
124
+ "<extra_id_98>": 357,
125
+ "<extra_id_99>": 358,
126
+ "<extra_id_9>": 268,
127
+ "<|SOP|>": 384
128
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a54962b57e277d0f1667817f59f3653c9e05bdeb81d95a47d8ea1d14312efb1
3
+ size 403241300
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6d7f01ea766cbdd5cacd8621efedaa9110a9155783e94468b2f9cbb194d0b84
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12041b1c819da5737aec67c135279dcf9c5643522724d2d7289e6e335b7ba4b9
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<extra_id_0>",
4
+ "<extra_id_1>",
5
+ "<extra_id_2>",
6
+ "<extra_id_3>",
7
+ "<extra_id_4>",
8
+ "<extra_id_5>",
9
+ "<extra_id_6>",
10
+ "<extra_id_7>",
11
+ "<extra_id_8>",
12
+ "<extra_id_9>",
13
+ "<extra_id_10>",
14
+ "<extra_id_11>",
15
+ "<extra_id_12>",
16
+ "<extra_id_13>",
17
+ "<extra_id_14>",
18
+ "<extra_id_15>",
19
+ "<extra_id_16>",
20
+ "<extra_id_17>",
21
+ "<extra_id_18>",
22
+ "<extra_id_19>",
23
+ "<extra_id_20>",
24
+ "<extra_id_21>",
25
+ "<extra_id_22>",
26
+ "<extra_id_23>",
27
+ "<extra_id_24>",
28
+ "<extra_id_25>",
29
+ "<extra_id_26>",
30
+ "<extra_id_27>",
31
+ "<extra_id_28>",
32
+ "<extra_id_29>",
33
+ "<extra_id_30>",
34
+ "<extra_id_31>",
35
+ "<extra_id_32>",
36
+ "<extra_id_33>",
37
+ "<extra_id_34>",
38
+ "<extra_id_35>",
39
+ "<extra_id_36>",
40
+ "<extra_id_37>",
41
+ "<extra_id_38>",
42
+ "<extra_id_39>",
43
+ "<extra_id_40>",
44
+ "<extra_id_41>",
45
+ "<extra_id_42>",
46
+ "<extra_id_43>",
47
+ "<extra_id_44>",
48
+ "<extra_id_45>",
49
+ "<extra_id_46>",
50
+ "<extra_id_47>",
51
+ "<extra_id_48>",
52
+ "<extra_id_49>",
53
+ "<extra_id_50>",
54
+ "<extra_id_51>",
55
+ "<extra_id_52>",
56
+ "<extra_id_53>",
57
+ "<extra_id_54>",
58
+ "<extra_id_55>",
59
+ "<extra_id_56>",
60
+ "<extra_id_57>",
61
+ "<extra_id_58>",
62
+ "<extra_id_59>",
63
+ "<extra_id_60>",
64
+ "<extra_id_61>",
65
+ "<extra_id_62>",
66
+ "<extra_id_63>",
67
+ "<extra_id_64>",
68
+ "<extra_id_65>",
69
+ "<extra_id_66>",
70
+ "<extra_id_67>",
71
+ "<extra_id_68>",
72
+ "<extra_id_69>",
73
+ "<extra_id_70>",
74
+ "<extra_id_71>",
75
+ "<extra_id_72>",
76
+ "<extra_id_73>",
77
+ "<extra_id_74>",
78
+ "<extra_id_75>",
79
+ "<extra_id_76>",
80
+ "<extra_id_77>",
81
+ "<extra_id_78>",
82
+ "<extra_id_79>",
83
+ "<extra_id_80>",
84
+ "<extra_id_81>",
85
+ "<extra_id_82>",
86
+ "<extra_id_83>",
87
+ "<extra_id_84>",
88
+ "<extra_id_85>",
89
+ "<extra_id_86>",
90
+ "<extra_id_87>",
91
+ "<extra_id_88>",
92
+ "<extra_id_89>",
93
+ "<extra_id_90>",
94
+ "<extra_id_91>",
95
+ "<extra_id_92>",
96
+ "<extra_id_93>",
97
+ "<extra_id_94>",
98
+ "<extra_id_95>",
99
+ "<extra_id_96>",
100
+ "<extra_id_97>",
101
+ "<extra_id_98>",
102
+ "<extra_id_99>",
103
+ "<extra_id_100>",
104
+ "<extra_id_101>",
105
+ "<extra_id_102>",
106
+ "<extra_id_103>",
107
+ "<extra_id_104>",
108
+ "<extra_id_105>",
109
+ "<extra_id_106>",
110
+ "<extra_id_107>",
111
+ "<extra_id_108>",
112
+ "<extra_id_109>",
113
+ "<extra_id_110>",
114
+ "<extra_id_111>",
115
+ "<extra_id_112>",
116
+ "<extra_id_113>",
117
+ "<extra_id_114>",
118
+ "<extra_id_115>",
119
+ "<extra_id_116>",
120
+ "<extra_id_117>",
121
+ "<extra_id_118>",
122
+ "<extra_id_119>",
123
+ "<extra_id_120>",
124
+ "<extra_id_121>",
125
+ "<extra_id_122>",
126
+ "<extra_id_123>",
127
+ "<extra_id_124>",
128
+ {
129
+ "content": "<|SOP|>",
130
+ "lstrip": false,
131
+ "normalized": false,
132
+ "rstrip": false,
133
+ "single_word": false
134
+ }
135
+ ],
136
+ "eos_token": {
137
+ "content": "</s>",
138
+ "lstrip": false,
139
+ "normalized": true,
140
+ "rstrip": false,
141
+ "single_word": false
142
+ },
143
+ "pad_token": {
144
+ "content": "<pad>",
145
+ "lstrip": false,
146
+ "normalized": true,
147
+ "rstrip": false,
148
+ "single_word": false
149
+ },
150
+ "unk_token": {
151
+ "content": "<unk>",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false
156
+ }
157
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,1171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<pad>",
5
+ "lstrip": false,
6
+ "normalized": true,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "</s>",
13
+ "lstrip": false,
14
+ "normalized": true,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<unk>",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "259": {
28
+ "content": "<extra_id_0>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "260": {
36
+ "content": "<extra_id_1>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "261": {
44
+ "content": "<extra_id_2>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ },
51
+ "262": {
52
+ "content": "<extra_id_3>",
53
+ "lstrip": false,
54
+ "normalized": false,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": true
58
+ },
59
+ "263": {
60
+ "content": "<extra_id_4>",
61
+ "lstrip": false,
62
+ "normalized": false,
63
+ "rstrip": false,
64
+ "single_word": false,
65
+ "special": true
66
+ },
67
+ "264": {
68
+ "content": "<extra_id_5>",
69
+ "lstrip": false,
70
+ "normalized": false,
71
+ "rstrip": false,
72
+ "single_word": false,
73
+ "special": true
74
+ },
75
+ "265": {
76
+ "content": "<extra_id_6>",
77
+ "lstrip": false,
78
+ "normalized": false,
79
+ "rstrip": false,
80
+ "single_word": false,
81
+ "special": true
82
+ },
83
+ "266": {
84
+ "content": "<extra_id_7>",
85
+ "lstrip": false,
86
+ "normalized": false,
87
+ "rstrip": false,
88
+ "single_word": false,
89
+ "special": true
90
+ },
91
+ "267": {
92
+ "content": "<extra_id_8>",
93
+ "lstrip": false,
94
+ "normalized": false,
95
+ "rstrip": false,
96
+ "single_word": false,
97
+ "special": true
98
+ },
99
+ "268": {
100
+ "content": "<extra_id_9>",
101
+ "lstrip": false,
102
+ "normalized": false,
103
+ "rstrip": false,
104
+ "single_word": false,
105
+ "special": true
106
+ },
107
+ "269": {
108
+ "content": "<extra_id_10>",
109
+ "lstrip": false,
110
+ "normalized": false,
111
+ "rstrip": false,
112
+ "single_word": false,
113
+ "special": true
114
+ },
115
+ "270": {
116
+ "content": "<extra_id_11>",
117
+ "lstrip": false,
118
+ "normalized": false,
119
+ "rstrip": false,
120
+ "single_word": false,
121
+ "special": true
122
+ },
123
+ "271": {
124
+ "content": "<extra_id_12>",
125
+ "lstrip": false,
126
+ "normalized": false,
127
+ "rstrip": false,
128
+ "single_word": false,
129
+ "special": true
130
+ },
131
+ "272": {
132
+ "content": "<extra_id_13>",
133
+ "lstrip": false,
134
+ "normalized": false,
135
+ "rstrip": false,
136
+ "single_word": false,
137
+ "special": true
138
+ },
139
+ "273": {
140
+ "content": "<extra_id_14>",
141
+ "lstrip": false,
142
+ "normalized": false,
143
+ "rstrip": false,
144
+ "single_word": false,
145
+ "special": true
146
+ },
147
+ "274": {
148
+ "content": "<extra_id_15>",
149
+ "lstrip": false,
150
+ "normalized": false,
151
+ "rstrip": false,
152
+ "single_word": false,
153
+ "special": true
154
+ },
155
+ "275": {
156
+ "content": "<extra_id_16>",
157
+ "lstrip": false,
158
+ "normalized": false,
159
+ "rstrip": false,
160
+ "single_word": false,
161
+ "special": true
162
+ },
163
+ "276": {
164
+ "content": "<extra_id_17>",
165
+ "lstrip": false,
166
+ "normalized": false,
167
+ "rstrip": false,
168
+ "single_word": false,
169
+ "special": true
170
+ },
171
+ "277": {
172
+ "content": "<extra_id_18>",
173
+ "lstrip": false,
174
+ "normalized": false,
175
+ "rstrip": false,
176
+ "single_word": false,
177
+ "special": true
178
+ },
179
+ "278": {
180
+ "content": "<extra_id_19>",
181
+ "lstrip": false,
182
+ "normalized": false,
183
+ "rstrip": false,
184
+ "single_word": false,
185
+ "special": true
186
+ },
187
+ "279": {
188
+ "content": "<extra_id_20>",
189
+ "lstrip": false,
190
+ "normalized": false,
191
+ "rstrip": false,
192
+ "single_word": false,
193
+ "special": true
194
+ },
195
+ "280": {
196
+ "content": "<extra_id_21>",
197
+ "lstrip": false,
198
+ "normalized": false,
199
+ "rstrip": false,
200
+ "single_word": false,
201
+ "special": true
202
+ },
203
+ "281": {
204
+ "content": "<extra_id_22>",
205
+ "lstrip": false,
206
+ "normalized": false,
207
+ "rstrip": false,
208
+ "single_word": false,
209
+ "special": true
210
+ },
211
+ "282": {
212
+ "content": "<extra_id_23>",
213
+ "lstrip": false,
214
+ "normalized": false,
215
+ "rstrip": false,
216
+ "single_word": false,
217
+ "special": true
218
+ },
219
+ "283": {
220
+ "content": "<extra_id_24>",
221
+ "lstrip": false,
222
+ "normalized": false,
223
+ "rstrip": false,
224
+ "single_word": false,
225
+ "special": true
226
+ },
227
+ "284": {
228
+ "content": "<extra_id_25>",
229
+ "lstrip": false,
230
+ "normalized": false,
231
+ "rstrip": false,
232
+ "single_word": false,
233
+ "special": true
234
+ },
235
+ "285": {
236
+ "content": "<extra_id_26>",
237
+ "lstrip": false,
238
+ "normalized": false,
239
+ "rstrip": false,
240
+ "single_word": false,
241
+ "special": true
242
+ },
243
+ "286": {
244
+ "content": "<extra_id_27>",
245
+ "lstrip": false,
246
+ "normalized": false,
247
+ "rstrip": false,
248
+ "single_word": false,
249
+ "special": true
250
+ },
251
+ "287": {
252
+ "content": "<extra_id_28>",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "288": {
260
+ "content": "<extra_id_29>",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "289": {
268
+ "content": "<extra_id_30>",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "290": {
276
+ "content": "<extra_id_31>",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "291": {
284
+ "content": "<extra_id_32>",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ },
291
+ "292": {
292
+ "content": "<extra_id_33>",
293
+ "lstrip": false,
294
+ "normalized": false,
295
+ "rstrip": false,
296
+ "single_word": false,
297
+ "special": true
298
+ },
299
+ "293": {
300
+ "content": "<extra_id_34>",
301
+ "lstrip": false,
302
+ "normalized": false,
303
+ "rstrip": false,
304
+ "single_word": false,
305
+ "special": true
306
+ },
307
+ "294": {
308
+ "content": "<extra_id_35>",
309
+ "lstrip": false,
310
+ "normalized": false,
311
+ "rstrip": false,
312
+ "single_word": false,
313
+ "special": true
314
+ },
315
+ "295": {
316
+ "content": "<extra_id_36>",
317
+ "lstrip": false,
318
+ "normalized": false,
319
+ "rstrip": false,
320
+ "single_word": false,
321
+ "special": true
322
+ },
323
+ "296": {
324
+ "content": "<extra_id_37>",
325
+ "lstrip": false,
326
+ "normalized": false,
327
+ "rstrip": false,
328
+ "single_word": false,
329
+ "special": true
330
+ },
331
+ "297": {
332
+ "content": "<extra_id_38>",
333
+ "lstrip": false,
334
+ "normalized": false,
335
+ "rstrip": false,
336
+ "single_word": false,
337
+ "special": true
338
+ },
339
+ "298": {
340
+ "content": "<extra_id_39>",
341
+ "lstrip": false,
342
+ "normalized": false,
343
+ "rstrip": false,
344
+ "single_word": false,
345
+ "special": true
346
+ },
347
+ "299": {
348
+ "content": "<extra_id_40>",
349
+ "lstrip": false,
350
+ "normalized": false,
351
+ "rstrip": false,
352
+ "single_word": false,
353
+ "special": true
354
+ },
355
+ "300": {
356
+ "content": "<extra_id_41>",
357
+ "lstrip": false,
358
+ "normalized": false,
359
+ "rstrip": false,
360
+ "single_word": false,
361
+ "special": true
362
+ },
363
+ "301": {
364
+ "content": "<extra_id_42>",
365
+ "lstrip": false,
366
+ "normalized": false,
367
+ "rstrip": false,
368
+ "single_word": false,
369
+ "special": true
370
+ },
371
+ "302": {
372
+ "content": "<extra_id_43>",
373
+ "lstrip": false,
374
+ "normalized": false,
375
+ "rstrip": false,
376
+ "single_word": false,
377
+ "special": true
378
+ },
379
+ "303": {
380
+ "content": "<extra_id_44>",
381
+ "lstrip": false,
382
+ "normalized": false,
383
+ "rstrip": false,
384
+ "single_word": false,
385
+ "special": true
386
+ },
387
+ "304": {
388
+ "content": "<extra_id_45>",
389
+ "lstrip": false,
390
+ "normalized": false,
391
+ "rstrip": false,
392
+ "single_word": false,
393
+ "special": true
394
+ },
395
+ "305": {
396
+ "content": "<extra_id_46>",
397
+ "lstrip": false,
398
+ "normalized": false,
399
+ "rstrip": false,
400
+ "single_word": false,
401
+ "special": true
402
+ },
403
+ "306": {
404
+ "content": "<extra_id_47>",
405
+ "lstrip": false,
406
+ "normalized": false,
407
+ "rstrip": false,
408
+ "single_word": false,
409
+ "special": true
410
+ },
411
+ "307": {
412
+ "content": "<extra_id_48>",
413
+ "lstrip": false,
414
+ "normalized": false,
415
+ "rstrip": false,
416
+ "single_word": false,
417
+ "special": true
418
+ },
419
+ "308": {
420
+ "content": "<extra_id_49>",
421
+ "lstrip": false,
422
+ "normalized": false,
423
+ "rstrip": false,
424
+ "single_word": false,
425
+ "special": true
426
+ },
427
+ "309": {
428
+ "content": "<extra_id_50>",
429
+ "lstrip": false,
430
+ "normalized": false,
431
+ "rstrip": false,
432
+ "single_word": false,
433
+ "special": true
434
+ },
435
+ "310": {
436
+ "content": "<extra_id_51>",
437
+ "lstrip": false,
438
+ "normalized": false,
439
+ "rstrip": false,
440
+ "single_word": false,
441
+ "special": true
442
+ },
443
+ "311": {
444
+ "content": "<extra_id_52>",
445
+ "lstrip": false,
446
+ "normalized": false,
447
+ "rstrip": false,
448
+ "single_word": false,
449
+ "special": true
450
+ },
451
+ "312": {
452
+ "content": "<extra_id_53>",
453
+ "lstrip": false,
454
+ "normalized": false,
455
+ "rstrip": false,
456
+ "single_word": false,
457
+ "special": true
458
+ },
459
+ "313": {
460
+ "content": "<extra_id_54>",
461
+ "lstrip": false,
462
+ "normalized": false,
463
+ "rstrip": false,
464
+ "single_word": false,
465
+ "special": true
466
+ },
467
+ "314": {
468
+ "content": "<extra_id_55>",
469
+ "lstrip": false,
470
+ "normalized": false,
471
+ "rstrip": false,
472
+ "single_word": false,
473
+ "special": true
474
+ },
475
+ "315": {
476
+ "content": "<extra_id_56>",
477
+ "lstrip": false,
478
+ "normalized": false,
479
+ "rstrip": false,
480
+ "single_word": false,
481
+ "special": true
482
+ },
483
+ "316": {
484
+ "content": "<extra_id_57>",
485
+ "lstrip": false,
486
+ "normalized": false,
487
+ "rstrip": false,
488
+ "single_word": false,
489
+ "special": true
490
+ },
491
+ "317": {
492
+ "content": "<extra_id_58>",
493
+ "lstrip": false,
494
+ "normalized": false,
495
+ "rstrip": false,
496
+ "single_word": false,
497
+ "special": true
498
+ },
499
+ "318": {
500
+ "content": "<extra_id_59>",
501
+ "lstrip": false,
502
+ "normalized": false,
503
+ "rstrip": false,
504
+ "single_word": false,
505
+ "special": true
506
+ },
507
+ "319": {
508
+ "content": "<extra_id_60>",
509
+ "lstrip": false,
510
+ "normalized": false,
511
+ "rstrip": false,
512
+ "single_word": false,
513
+ "special": true
514
+ },
515
+ "320": {
516
+ "content": "<extra_id_61>",
517
+ "lstrip": false,
518
+ "normalized": false,
519
+ "rstrip": false,
520
+ "single_word": false,
521
+ "special": true
522
+ },
523
+ "321": {
524
+ "content": "<extra_id_62>",
525
+ "lstrip": false,
526
+ "normalized": false,
527
+ "rstrip": false,
528
+ "single_word": false,
529
+ "special": true
530
+ },
531
+ "322": {
532
+ "content": "<extra_id_63>",
533
+ "lstrip": false,
534
+ "normalized": false,
535
+ "rstrip": false,
536
+ "single_word": false,
537
+ "special": true
538
+ },
539
+ "323": {
540
+ "content": "<extra_id_64>",
541
+ "lstrip": false,
542
+ "normalized": false,
543
+ "rstrip": false,
544
+ "single_word": false,
545
+ "special": true
546
+ },
547
+ "324": {
548
+ "content": "<extra_id_65>",
549
+ "lstrip": false,
550
+ "normalized": false,
551
+ "rstrip": false,
552
+ "single_word": false,
553
+ "special": true
554
+ },
555
+ "325": {
556
+ "content": "<extra_id_66>",
557
+ "lstrip": false,
558
+ "normalized": false,
559
+ "rstrip": false,
560
+ "single_word": false,
561
+ "special": true
562
+ },
563
+ "326": {
564
+ "content": "<extra_id_67>",
565
+ "lstrip": false,
566
+ "normalized": false,
567
+ "rstrip": false,
568
+ "single_word": false,
569
+ "special": true
570
+ },
571
+ "327": {
572
+ "content": "<extra_id_68>",
573
+ "lstrip": false,
574
+ "normalized": false,
575
+ "rstrip": false,
576
+ "single_word": false,
577
+ "special": true
578
+ },
579
+ "328": {
580
+ "content": "<extra_id_69>",
581
+ "lstrip": false,
582
+ "normalized": false,
583
+ "rstrip": false,
584
+ "single_word": false,
585
+ "special": true
586
+ },
587
+ "329": {
588
+ "content": "<extra_id_70>",
589
+ "lstrip": false,
590
+ "normalized": false,
591
+ "rstrip": false,
592
+ "single_word": false,
593
+ "special": true
594
+ },
595
+ "330": {
596
+ "content": "<extra_id_71>",
597
+ "lstrip": false,
598
+ "normalized": false,
599
+ "rstrip": false,
600
+ "single_word": false,
601
+ "special": true
602
+ },
603
+ "331": {
604
+ "content": "<extra_id_72>",
605
+ "lstrip": false,
606
+ "normalized": false,
607
+ "rstrip": false,
608
+ "single_word": false,
609
+ "special": true
610
+ },
611
+ "332": {
612
+ "content": "<extra_id_73>",
613
+ "lstrip": false,
614
+ "normalized": false,
615
+ "rstrip": false,
616
+ "single_word": false,
617
+ "special": true
618
+ },
619
+ "333": {
620
+ "content": "<extra_id_74>",
621
+ "lstrip": false,
622
+ "normalized": false,
623
+ "rstrip": false,
624
+ "single_word": false,
625
+ "special": true
626
+ },
627
+ "334": {
628
+ "content": "<extra_id_75>",
629
+ "lstrip": false,
630
+ "normalized": false,
631
+ "rstrip": false,
632
+ "single_word": false,
633
+ "special": true
634
+ },
635
+ "335": {
636
+ "content": "<extra_id_76>",
637
+ "lstrip": false,
638
+ "normalized": false,
639
+ "rstrip": false,
640
+ "single_word": false,
641
+ "special": true
642
+ },
643
+ "336": {
644
+ "content": "<extra_id_77>",
645
+ "lstrip": false,
646
+ "normalized": false,
647
+ "rstrip": false,
648
+ "single_word": false,
649
+ "special": true
650
+ },
651
+ "337": {
652
+ "content": "<extra_id_78>",
653
+ "lstrip": false,
654
+ "normalized": false,
655
+ "rstrip": false,
656
+ "single_word": false,
657
+ "special": true
658
+ },
659
+ "338": {
660
+ "content": "<extra_id_79>",
661
+ "lstrip": false,
662
+ "normalized": false,
663
+ "rstrip": false,
664
+ "single_word": false,
665
+ "special": true
666
+ },
667
+ "339": {
668
+ "content": "<extra_id_80>",
669
+ "lstrip": false,
670
+ "normalized": false,
671
+ "rstrip": false,
672
+ "single_word": false,
673
+ "special": true
674
+ },
675
+ "340": {
676
+ "content": "<extra_id_81>",
677
+ "lstrip": false,
678
+ "normalized": false,
679
+ "rstrip": false,
680
+ "single_word": false,
681
+ "special": true
682
+ },
683
+ "341": {
684
+ "content": "<extra_id_82>",
685
+ "lstrip": false,
686
+ "normalized": false,
687
+ "rstrip": false,
688
+ "single_word": false,
689
+ "special": true
690
+ },
691
+ "342": {
692
+ "content": "<extra_id_83>",
693
+ "lstrip": false,
694
+ "normalized": false,
695
+ "rstrip": false,
696
+ "single_word": false,
697
+ "special": true
698
+ },
699
+ "343": {
700
+ "content": "<extra_id_84>",
701
+ "lstrip": false,
702
+ "normalized": false,
703
+ "rstrip": false,
704
+ "single_word": false,
705
+ "special": true
706
+ },
707
+ "344": {
708
+ "content": "<extra_id_85>",
709
+ "lstrip": false,
710
+ "normalized": false,
711
+ "rstrip": false,
712
+ "single_word": false,
713
+ "special": true
714
+ },
715
+ "345": {
716
+ "content": "<extra_id_86>",
717
+ "lstrip": false,
718
+ "normalized": false,
719
+ "rstrip": false,
720
+ "single_word": false,
721
+ "special": true
722
+ },
723
+ "346": {
724
+ "content": "<extra_id_87>",
725
+ "lstrip": false,
726
+ "normalized": false,
727
+ "rstrip": false,
728
+ "single_word": false,
729
+ "special": true
730
+ },
731
+ "347": {
732
+ "content": "<extra_id_88>",
733
+ "lstrip": false,
734
+ "normalized": false,
735
+ "rstrip": false,
736
+ "single_word": false,
737
+ "special": true
738
+ },
739
+ "348": {
740
+ "content": "<extra_id_89>",
741
+ "lstrip": false,
742
+ "normalized": false,
743
+ "rstrip": false,
744
+ "single_word": false,
745
+ "special": true
746
+ },
747
+ "349": {
748
+ "content": "<extra_id_90>",
749
+ "lstrip": false,
750
+ "normalized": false,
751
+ "rstrip": false,
752
+ "single_word": false,
753
+ "special": true
754
+ },
755
+ "350": {
756
+ "content": "<extra_id_91>",
757
+ "lstrip": false,
758
+ "normalized": false,
759
+ "rstrip": false,
760
+ "single_word": false,
761
+ "special": true
762
+ },
763
+ "351": {
764
+ "content": "<extra_id_92>",
765
+ "lstrip": false,
766
+ "normalized": false,
767
+ "rstrip": false,
768
+ "single_word": false,
769
+ "special": true
770
+ },
771
+ "352": {
772
+ "content": "<extra_id_93>",
773
+ "lstrip": false,
774
+ "normalized": false,
775
+ "rstrip": false,
776
+ "single_word": false,
777
+ "special": true
778
+ },
779
+ "353": {
780
+ "content": "<extra_id_94>",
781
+ "lstrip": false,
782
+ "normalized": false,
783
+ "rstrip": false,
784
+ "single_word": false,
785
+ "special": true
786
+ },
787
+ "354": {
788
+ "content": "<extra_id_95>",
789
+ "lstrip": false,
790
+ "normalized": false,
791
+ "rstrip": false,
792
+ "single_word": false,
793
+ "special": true
794
+ },
795
+ "355": {
796
+ "content": "<extra_id_96>",
797
+ "lstrip": false,
798
+ "normalized": false,
799
+ "rstrip": false,
800
+ "single_word": false,
801
+ "special": true
802
+ },
803
+ "356": {
804
+ "content": "<extra_id_97>",
805
+ "lstrip": false,
806
+ "normalized": false,
807
+ "rstrip": false,
808
+ "single_word": false,
809
+ "special": true
810
+ },
811
+ "357": {
812
+ "content": "<extra_id_98>",
813
+ "lstrip": false,
814
+ "normalized": false,
815
+ "rstrip": false,
816
+ "single_word": false,
817
+ "special": true
818
+ },
819
+ "358": {
820
+ "content": "<extra_id_99>",
821
+ "lstrip": false,
822
+ "normalized": false,
823
+ "rstrip": false,
824
+ "single_word": false,
825
+ "special": true
826
+ },
827
+ "359": {
828
+ "content": "<extra_id_100>",
829
+ "lstrip": false,
830
+ "normalized": false,
831
+ "rstrip": false,
832
+ "single_word": false,
833
+ "special": true
834
+ },
835
+ "360": {
836
+ "content": "<extra_id_101>",
837
+ "lstrip": false,
838
+ "normalized": false,
839
+ "rstrip": false,
840
+ "single_word": false,
841
+ "special": true
842
+ },
843
+ "361": {
844
+ "content": "<extra_id_102>",
845
+ "lstrip": false,
846
+ "normalized": false,
847
+ "rstrip": false,
848
+ "single_word": false,
849
+ "special": true
850
+ },
851
+ "362": {
852
+ "content": "<extra_id_103>",
853
+ "lstrip": false,
854
+ "normalized": false,
855
+ "rstrip": false,
856
+ "single_word": false,
857
+ "special": true
858
+ },
859
+ "363": {
860
+ "content": "<extra_id_104>",
861
+ "lstrip": false,
862
+ "normalized": false,
863
+ "rstrip": false,
864
+ "single_word": false,
865
+ "special": true
866
+ },
867
+ "364": {
868
+ "content": "<extra_id_105>",
869
+ "lstrip": false,
870
+ "normalized": false,
871
+ "rstrip": false,
872
+ "single_word": false,
873
+ "special": true
874
+ },
875
+ "365": {
876
+ "content": "<extra_id_106>",
877
+ "lstrip": false,
878
+ "normalized": false,
879
+ "rstrip": false,
880
+ "single_word": false,
881
+ "special": true
882
+ },
883
+ "366": {
884
+ "content": "<extra_id_107>",
885
+ "lstrip": false,
886
+ "normalized": false,
887
+ "rstrip": false,
888
+ "single_word": false,
889
+ "special": true
890
+ },
891
+ "367": {
892
+ "content": "<extra_id_108>",
893
+ "lstrip": false,
894
+ "normalized": false,
895
+ "rstrip": false,
896
+ "single_word": false,
897
+ "special": true
898
+ },
899
+ "368": {
900
+ "content": "<extra_id_109>",
901
+ "lstrip": false,
902
+ "normalized": false,
903
+ "rstrip": false,
904
+ "single_word": false,
905
+ "special": true
906
+ },
907
+ "369": {
908
+ "content": "<extra_id_110>",
909
+ "lstrip": false,
910
+ "normalized": false,
911
+ "rstrip": false,
912
+ "single_word": false,
913
+ "special": true
914
+ },
915
+ "370": {
916
+ "content": "<extra_id_111>",
917
+ "lstrip": false,
918
+ "normalized": false,
919
+ "rstrip": false,
920
+ "single_word": false,
921
+ "special": true
922
+ },
923
+ "371": {
924
+ "content": "<extra_id_112>",
925
+ "lstrip": false,
926
+ "normalized": false,
927
+ "rstrip": false,
928
+ "single_word": false,
929
+ "special": true
930
+ },
931
+ "372": {
932
+ "content": "<extra_id_113>",
933
+ "lstrip": false,
934
+ "normalized": false,
935
+ "rstrip": false,
936
+ "single_word": false,
937
+ "special": true
938
+ },
939
+ "373": {
940
+ "content": "<extra_id_114>",
941
+ "lstrip": false,
942
+ "normalized": false,
943
+ "rstrip": false,
944
+ "single_word": false,
945
+ "special": true
946
+ },
947
+ "374": {
948
+ "content": "<extra_id_115>",
949
+ "lstrip": false,
950
+ "normalized": false,
951
+ "rstrip": false,
952
+ "single_word": false,
953
+ "special": true
954
+ },
955
+ "375": {
956
+ "content": "<extra_id_116>",
957
+ "lstrip": false,
958
+ "normalized": false,
959
+ "rstrip": false,
960
+ "single_word": false,
961
+ "special": true
962
+ },
963
+ "376": {
964
+ "content": "<extra_id_117>",
965
+ "lstrip": false,
966
+ "normalized": false,
967
+ "rstrip": false,
968
+ "single_word": false,
969
+ "special": true
970
+ },
971
+ "377": {
972
+ "content": "<extra_id_118>",
973
+ "lstrip": false,
974
+ "normalized": false,
975
+ "rstrip": false,
976
+ "single_word": false,
977
+ "special": true
978
+ },
979
+ "378": {
980
+ "content": "<extra_id_119>",
981
+ "lstrip": false,
982
+ "normalized": false,
983
+ "rstrip": false,
984
+ "single_word": false,
985
+ "special": true
986
+ },
987
+ "379": {
988
+ "content": "<extra_id_120>",
989
+ "lstrip": false,
990
+ "normalized": false,
991
+ "rstrip": false,
992
+ "single_word": false,
993
+ "special": true
994
+ },
995
+ "380": {
996
+ "content": "<extra_id_121>",
997
+ "lstrip": false,
998
+ "normalized": false,
999
+ "rstrip": false,
1000
+ "single_word": false,
1001
+ "special": true
1002
+ },
1003
+ "381": {
1004
+ "content": "<extra_id_122>",
1005
+ "lstrip": false,
1006
+ "normalized": false,
1007
+ "rstrip": false,
1008
+ "single_word": false,
1009
+ "special": true
1010
+ },
1011
+ "382": {
1012
+ "content": "<extra_id_123>",
1013
+ "lstrip": false,
1014
+ "normalized": false,
1015
+ "rstrip": false,
1016
+ "single_word": false,
1017
+ "special": true
1018
+ },
1019
+ "383": {
1020
+ "content": "<extra_id_124>",
1021
+ "lstrip": false,
1022
+ "normalized": false,
1023
+ "rstrip": false,
1024
+ "single_word": false,
1025
+ "special": true
1026
+ },
1027
+ "384": {
1028
+ "content": "<|SOP|>",
1029
+ "lstrip": false,
1030
+ "normalized": false,
1031
+ "rstrip": false,
1032
+ "single_word": false,
1033
+ "special": true
1034
+ }
1035
+ },
1036
+ "additional_special_tokens": [
1037
+ "<extra_id_0>",
1038
+ "<extra_id_1>",
1039
+ "<extra_id_2>",
1040
+ "<extra_id_3>",
1041
+ "<extra_id_4>",
1042
+ "<extra_id_5>",
1043
+ "<extra_id_6>",
1044
+ "<extra_id_7>",
1045
+ "<extra_id_8>",
1046
+ "<extra_id_9>",
1047
+ "<extra_id_10>",
1048
+ "<extra_id_11>",
1049
+ "<extra_id_12>",
1050
+ "<extra_id_13>",
1051
+ "<extra_id_14>",
1052
+ "<extra_id_15>",
1053
+ "<extra_id_16>",
1054
+ "<extra_id_17>",
1055
+ "<extra_id_18>",
1056
+ "<extra_id_19>",
1057
+ "<extra_id_20>",
1058
+ "<extra_id_21>",
1059
+ "<extra_id_22>",
1060
+ "<extra_id_23>",
1061
+ "<extra_id_24>",
1062
+ "<extra_id_25>",
1063
+ "<extra_id_26>",
1064
+ "<extra_id_27>",
1065
+ "<extra_id_28>",
1066
+ "<extra_id_29>",
1067
+ "<extra_id_30>",
1068
+ "<extra_id_31>",
1069
+ "<extra_id_32>",
1070
+ "<extra_id_33>",
1071
+ "<extra_id_34>",
1072
+ "<extra_id_35>",
1073
+ "<extra_id_36>",
1074
+ "<extra_id_37>",
1075
+ "<extra_id_38>",
1076
+ "<extra_id_39>",
1077
+ "<extra_id_40>",
1078
+ "<extra_id_41>",
1079
+ "<extra_id_42>",
1080
+ "<extra_id_43>",
1081
+ "<extra_id_44>",
1082
+ "<extra_id_45>",
1083
+ "<extra_id_46>",
1084
+ "<extra_id_47>",
1085
+ "<extra_id_48>",
1086
+ "<extra_id_49>",
1087
+ "<extra_id_50>",
1088
+ "<extra_id_51>",
1089
+ "<extra_id_52>",
1090
+ "<extra_id_53>",
1091
+ "<extra_id_54>",
1092
+ "<extra_id_55>",
1093
+ "<extra_id_56>",
1094
+ "<extra_id_57>",
1095
+ "<extra_id_58>",
1096
+ "<extra_id_59>",
1097
+ "<extra_id_60>",
1098
+ "<extra_id_61>",
1099
+ "<extra_id_62>",
1100
+ "<extra_id_63>",
1101
+ "<extra_id_64>",
1102
+ "<extra_id_65>",
1103
+ "<extra_id_66>",
1104
+ "<extra_id_67>",
1105
+ "<extra_id_68>",
1106
+ "<extra_id_69>",
1107
+ "<extra_id_70>",
1108
+ "<extra_id_71>",
1109
+ "<extra_id_72>",
1110
+ "<extra_id_73>",
1111
+ "<extra_id_74>",
1112
+ "<extra_id_75>",
1113
+ "<extra_id_76>",
1114
+ "<extra_id_77>",
1115
+ "<extra_id_78>",
1116
+ "<extra_id_79>",
1117
+ "<extra_id_80>",
1118
+ "<extra_id_81>",
1119
+ "<extra_id_82>",
1120
+ "<extra_id_83>",
1121
+ "<extra_id_84>",
1122
+ "<extra_id_85>",
1123
+ "<extra_id_86>",
1124
+ "<extra_id_87>",
1125
+ "<extra_id_88>",
1126
+ "<extra_id_89>",
1127
+ "<extra_id_90>",
1128
+ "<extra_id_91>",
1129
+ "<extra_id_92>",
1130
+ "<extra_id_93>",
1131
+ "<extra_id_94>",
1132
+ "<extra_id_95>",
1133
+ "<extra_id_96>",
1134
+ "<extra_id_97>",
1135
+ "<extra_id_98>",
1136
+ "<extra_id_99>",
1137
+ "<extra_id_100>",
1138
+ "<extra_id_101>",
1139
+ "<extra_id_102>",
1140
+ "<extra_id_103>",
1141
+ "<extra_id_104>",
1142
+ "<extra_id_105>",
1143
+ "<extra_id_106>",
1144
+ "<extra_id_107>",
1145
+ "<extra_id_108>",
1146
+ "<extra_id_109>",
1147
+ "<extra_id_110>",
1148
+ "<extra_id_111>",
1149
+ "<extra_id_112>",
1150
+ "<extra_id_113>",
1151
+ "<extra_id_114>",
1152
+ "<extra_id_115>",
1153
+ "<extra_id_116>",
1154
+ "<extra_id_117>",
1155
+ "<extra_id_118>",
1156
+ "<extra_id_119>",
1157
+ "<extra_id_120>",
1158
+ "<extra_id_121>",
1159
+ "<extra_id_122>",
1160
+ "<extra_id_123>",
1161
+ "<extra_id_124>",
1162
+ "<|SOP|>"
1163
+ ],
1164
+ "clean_up_tokenization_spaces": false,
1165
+ "eos_token": "</s>",
1166
+ "extra_ids": 0,
1167
+ "model_max_length": 1000000000000000019884624838656,
1168
+ "pad_token": "<pad>",
1169
+ "tokenizer_class": "ByT5Tokenizer",
1170
+ "unk_token": "<unk>"
1171
+ }
trainer_state.json ADDED
@@ -0,0 +1,850 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.6808745861053467,
3
+ "best_model_checkpoint": "model_training/byt5_small/checkpoints-random-09-07-09-31/checkpoint-475",
4
+ "epoch": 7.715736040609137,
5
+ "eval_steps": 25,
6
+ "global_step": 475,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08121827411167512,
13
+ "grad_norm": 1909.4637451171875,
14
+ "learning_rate": 5.102040816326531e-05,
15
+ "loss": 57.0818,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.16243654822335024,
20
+ "grad_norm": 99.90604400634766,
21
+ "learning_rate": 0.00010204081632653062,
22
+ "loss": 16.1261,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.2436548223350254,
27
+ "grad_norm": 3.8745250701904297,
28
+ "learning_rate": 0.00015306122448979594,
29
+ "loss": 4.167,
30
+ "step": 15
31
+ },
32
+ {
33
+ "epoch": 0.3248730964467005,
34
+ "grad_norm": 2.7964189052581787,
35
+ "learning_rate": 0.00020408163265306123,
36
+ "loss": 3.5792,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.40609137055837563,
41
+ "grad_norm": 2.3573312759399414,
42
+ "learning_rate": 0.00025510204081632655,
43
+ "loss": 2.6289,
44
+ "step": 25
45
+ },
46
+ {
47
+ "epoch": 0.40609137055837563,
48
+ "eval_loss": 1.9594327211380005,
49
+ "eval_runtime": 89.1162,
50
+ "eval_samples_per_second": 11.221,
51
+ "eval_steps_per_second": 1.403,
52
+ "step": 25
53
+ },
54
+ {
55
+ "epoch": 0.4873096446700508,
56
+ "grad_norm": 4.407505512237549,
57
+ "learning_rate": 0.0003061224489795919,
58
+ "loss": 2.181,
59
+ "step": 30
60
+ },
61
+ {
62
+ "epoch": 0.5685279187817259,
63
+ "grad_norm": 2.605747699737549,
64
+ "learning_rate": 0.00035714285714285714,
65
+ "loss": 2.1089,
66
+ "step": 35
67
+ },
68
+ {
69
+ "epoch": 0.649746192893401,
70
+ "grad_norm": 6.306596755981445,
71
+ "learning_rate": 0.00040816326530612246,
72
+ "loss": 2.0922,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.7309644670050761,
77
+ "grad_norm": 19.09569549560547,
78
+ "learning_rate": 0.0004591836734693878,
79
+ "loss": 2.0705,
80
+ "step": 45
81
+ },
82
+ {
83
+ "epoch": 0.8121827411167513,
84
+ "grad_norm": 1.264049768447876,
85
+ "learning_rate": 0.0004999935985425297,
86
+ "loss": 2.0794,
87
+ "step": 50
88
+ },
89
+ {
90
+ "epoch": 0.8121827411167513,
91
+ "eval_loss": 1.8679453134536743,
92
+ "eval_runtime": 89.0729,
93
+ "eval_samples_per_second": 11.227,
94
+ "eval_steps_per_second": 1.403,
95
+ "step": 50
96
+ },
97
+ {
98
+ "epoch": 0.8934010152284264,
99
+ "grad_norm": 1.4896085262298584,
100
+ "learning_rate": 0.0004997695819512612,
101
+ "loss": 2.0143,
102
+ "step": 55
103
+ },
104
+ {
105
+ "epoch": 0.9746192893401016,
106
+ "grad_norm": 4.419875144958496,
107
+ "learning_rate": 0.0004992258202402822,
108
+ "loss": 2.0938,
109
+ "step": 60
110
+ },
111
+ {
112
+ "epoch": 1.0558375634517767,
113
+ "grad_norm": 5.774366855621338,
114
+ "learning_rate": 0.0004983630095117843,
115
+ "loss": 2.0798,
116
+ "step": 65
117
+ },
118
+ {
119
+ "epoch": 1.1370558375634519,
120
+ "grad_norm": 1.4512771368026733,
121
+ "learning_rate": 0.0004971822543018662,
122
+ "loss": 2.0285,
123
+ "step": 70
124
+ },
125
+ {
126
+ "epoch": 1.218274111675127,
127
+ "grad_norm": 3.769318103790283,
128
+ "learning_rate": 0.0004956850661665511,
129
+ "loss": 2.1148,
130
+ "step": 75
131
+ },
132
+ {
133
+ "epoch": 1.218274111675127,
134
+ "eval_loss": 2.073261260986328,
135
+ "eval_runtime": 89.1696,
136
+ "eval_samples_per_second": 11.215,
137
+ "eval_steps_per_second": 1.402,
138
+ "step": 75
139
+ },
140
+ {
141
+ "epoch": 1.299492385786802,
142
+ "grad_norm": 5.518929481506348,
143
+ "learning_rate": 0.0004938733617467517,
144
+ "loss": 2.2383,
145
+ "step": 80
146
+ },
147
+ {
148
+ "epoch": 1.380710659898477,
149
+ "grad_norm": 3.9714841842651367,
150
+ "learning_rate": 0.0004917494603146632,
151
+ "loss": 2.168,
152
+ "step": 85
153
+ },
154
+ {
155
+ "epoch": 1.4619289340101522,
156
+ "grad_norm": 6.865543365478516,
157
+ "learning_rate": 0.0004893160808047222,
158
+ "loss": 2.1865,
159
+ "step": 90
160
+ },
161
+ {
162
+ "epoch": 1.5431472081218274,
163
+ "grad_norm": 1.2264541387557983,
164
+ "learning_rate": 0.00048657633833293557,
165
+ "loss": 2.1268,
166
+ "step": 95
167
+ },
168
+ {
169
+ "epoch": 1.6243654822335025,
170
+ "grad_norm": 1.3554304838180542,
171
+ "learning_rate": 0.0004835337402090316,
172
+ "loss": 1.9755,
173
+ "step": 100
174
+ },
175
+ {
176
+ "epoch": 1.6243654822335025,
177
+ "eval_loss": 1.8600231409072876,
178
+ "eval_runtime": 89.191,
179
+ "eval_samples_per_second": 11.212,
180
+ "eval_steps_per_second": 1.401,
181
+ "step": 100
182
+ },
183
+ {
184
+ "epoch": 1.7055837563451777,
185
+ "grad_norm": 0.7942481637001038,
186
+ "learning_rate": 0.0004801921814465414,
187
+ "loss": 1.9525,
188
+ "step": 105
189
+ },
190
+ {
191
+ "epoch": 1.7868020304568528,
192
+ "grad_norm": 0.5718096494674683,
193
+ "learning_rate": 0.00047655593977655674,
194
+ "loss": 1.9006,
195
+ "step": 110
196
+ },
197
+ {
198
+ "epoch": 1.868020304568528,
199
+ "grad_norm": 1.3327739238739014,
200
+ "learning_rate": 0.0004726296701715489,
201
+ "loss": 1.8652,
202
+ "step": 115
203
+ },
204
+ {
205
+ "epoch": 1.9492385786802031,
206
+ "grad_norm": 1.577561616897583,
207
+ "learning_rate": 0.00046841839888625623,
208
+ "loss": 1.8377,
209
+ "step": 120
210
+ },
211
+ {
212
+ "epoch": 2.030456852791878,
213
+ "grad_norm": 0.5204086899757385,
214
+ "learning_rate": 0.0004639275170232734,
215
+ "loss": 1.8577,
216
+ "step": 125
217
+ },
218
+ {
219
+ "epoch": 2.030456852791878,
220
+ "eval_loss": 1.7442234754562378,
221
+ "eval_runtime": 89.0663,
222
+ "eval_samples_per_second": 11.228,
223
+ "eval_steps_per_second": 1.403,
224
+ "step": 125
225
+ },
226
+ {
227
+ "epoch": 2.1116751269035534,
228
+ "grad_norm": 2.453739643096924,
229
+ "learning_rate": 0.0004591627736315743,
230
+ "loss": 1.8342,
231
+ "step": 130
232
+ },
233
+ {
234
+ "epoch": 2.1928934010152283,
235
+ "grad_norm": 0.7246991395950317,
236
+ "learning_rate": 0.0004541302683468084,
237
+ "loss": 1.7917,
238
+ "step": 135
239
+ },
240
+ {
241
+ "epoch": 2.2741116751269037,
242
+ "grad_norm": 0.6339123845100403,
243
+ "learning_rate": 0.0004488364435827881,
244
+ "loss": 1.82,
245
+ "step": 140
246
+ },
247
+ {
248
+ "epoch": 2.3553299492385786,
249
+ "grad_norm": 0.36034825444221497,
250
+ "learning_rate": 0.00044328807628416644,
251
+ "loss": 1.8474,
252
+ "step": 145
253
+ },
254
+ {
255
+ "epoch": 2.436548223350254,
256
+ "grad_norm": 0.30923303961753845,
257
+ "learning_rate": 0.0004374922692508611,
258
+ "loss": 1.8128,
259
+ "step": 150
260
+ },
261
+ {
262
+ "epoch": 2.436548223350254,
263
+ "eval_loss": 1.7244406938552856,
264
+ "eval_runtime": 89.0785,
265
+ "eval_samples_per_second": 11.226,
266
+ "eval_steps_per_second": 1.403,
267
+ "step": 150
268
+ },
269
+ {
270
+ "epoch": 2.517766497461929,
271
+ "grad_norm": 0.3758034110069275,
272
+ "learning_rate": 0.0004314564420453311,
273
+ "loss": 1.8011,
274
+ "step": 155
275
+ },
276
+ {
277
+ "epoch": 2.598984771573604,
278
+ "grad_norm": 0.9316683411598206,
279
+ "learning_rate": 0.0004251883214943475,
280
+ "loss": 1.7757,
281
+ "step": 160
282
+ },
283
+ {
284
+ "epoch": 2.6802030456852792,
285
+ "grad_norm": 0.5500881671905518,
286
+ "learning_rate": 0.0004186959317974155,
287
+ "loss": 1.7824,
288
+ "step": 165
289
+ },
290
+ {
291
+ "epoch": 2.761421319796954,
292
+ "grad_norm": 0.3643234372138977,
293
+ "learning_rate": 0.00041198758425451266,
294
+ "loss": 1.7431,
295
+ "step": 170
296
+ },
297
+ {
298
+ "epoch": 2.8426395939086295,
299
+ "grad_norm": 0.5587167739868164,
300
+ "learning_rate": 0.00040507186662629185,
301
+ "loss": 1.7935,
302
+ "step": 175
303
+ },
304
+ {
305
+ "epoch": 2.8426395939086295,
306
+ "eval_loss": 1.7120025157928467,
307
+ "eval_runtime": 89.075,
308
+ "eval_samples_per_second": 11.226,
309
+ "eval_steps_per_second": 1.403,
310
+ "step": 175
311
+ },
312
+ {
313
+ "epoch": 2.9238578680203045,
314
+ "grad_norm": 0.44406819343566895,
315
+ "learning_rate": 0.0003979576321403705,
316
+ "loss": 1.7312,
317
+ "step": 180
318
+ },
319
+ {
320
+ "epoch": 3.00507614213198,
321
+ "grad_norm": 0.7630233764648438,
322
+ "learning_rate": 0.0003906539881577793,
323
+ "loss": 1.8026,
324
+ "step": 185
325
+ },
326
+ {
327
+ "epoch": 3.0862944162436547,
328
+ "grad_norm": 0.41732481122016907,
329
+ "learning_rate": 0.0003831702845140801,
330
+ "loss": 1.7905,
331
+ "step": 190
332
+ },
333
+ {
334
+ "epoch": 3.16751269035533,
335
+ "grad_norm": 0.522934079170227,
336
+ "learning_rate": 0.00037551610155007613,
337
+ "loss": 1.7802,
338
+ "step": 195
339
+ },
340
+ {
341
+ "epoch": 3.248730964467005,
342
+ "grad_norm": 0.5810943841934204,
343
+ "learning_rate": 0.00036770123784744027,
344
+ "loss": 1.7463,
345
+ "step": 200
346
+ },
347
+ {
348
+ "epoch": 3.248730964467005,
349
+ "eval_loss": 1.7069350481033325,
350
+ "eval_runtime": 89.0777,
351
+ "eval_samples_per_second": 11.226,
352
+ "eval_steps_per_second": 1.403,
353
+ "step": 200
354
+ },
355
+ {
356
+ "epoch": 3.3299492385786804,
357
+ "grad_norm": 0.1446053683757782,
358
+ "learning_rate": 0.00035973569768495855,
359
+ "loss": 1.7338,
360
+ "step": 205
361
+ },
362
+ {
363
+ "epoch": 3.4111675126903553,
364
+ "grad_norm": 0.5621339678764343,
365
+ "learning_rate": 0.0003516296782314491,
366
+ "loss": 1.7331,
367
+ "step": 210
368
+ },
369
+ {
370
+ "epoch": 3.4923857868020303,
371
+ "grad_norm": 0.25368839502334595,
372
+ "learning_rate": 0.00034339355649175095,
373
+ "loss": 1.8015,
374
+ "step": 215
375
+ },
376
+ {
377
+ "epoch": 3.5736040609137056,
378
+ "grad_norm": 0.12756070494651794,
379
+ "learning_rate": 0.00033503787602249364,
380
+ "loss": 1.7295,
381
+ "step": 220
382
+ },
383
+ {
384
+ "epoch": 3.6548223350253806,
385
+ "grad_norm": 0.265066921710968,
386
+ "learning_rate": 0.00032657333343465356,
387
+ "loss": 1.7455,
388
+ "step": 225
389
+ },
390
+ {
391
+ "epoch": 3.6548223350253806,
392
+ "eval_loss": 1.726246953010559,
393
+ "eval_runtime": 89.0736,
394
+ "eval_samples_per_second": 11.227,
395
+ "eval_steps_per_second": 1.403,
396
+ "step": 225
397
+ },
398
+ {
399
+ "epoch": 3.736040609137056,
400
+ "grad_norm": 1.8155518770217896,
401
+ "learning_rate": 0.0003180107647001769,
402
+ "loss": 1.7157,
403
+ "step": 230
404
+ },
405
+ {
406
+ "epoch": 3.817258883248731,
407
+ "grad_norm": 0.34362295269966125,
408
+ "learning_rate": 0.0003093611312801979,
409
+ "loss": 1.7732,
410
+ "step": 235
411
+ },
412
+ {
413
+ "epoch": 3.8984771573604062,
414
+ "grad_norm": 0.4821447432041168,
415
+ "learning_rate": 0.00030063550609261025,
416
+ "loss": 1.7483,
417
+ "step": 240
418
+ },
419
+ {
420
+ "epoch": 3.979695431472081,
421
+ "grad_norm": 0.359451562166214,
422
+ "learning_rate": 0.000291845059336957,
423
+ "loss": 1.7725,
424
+ "step": 245
425
+ },
426
+ {
427
+ "epoch": 4.060913705583756,
428
+ "grad_norm": 27.946842193603516,
429
+ "learning_rate": 0.0002830010441947834,
430
+ "loss": 2.2729,
431
+ "step": 250
432
+ },
433
+ {
434
+ "epoch": 4.060913705583756,
435
+ "eval_loss": 9.357398986816406,
436
+ "eval_runtime": 89.1669,
437
+ "eval_samples_per_second": 11.215,
438
+ "eval_steps_per_second": 1.402,
439
+ "step": 250
440
+ },
441
+ {
442
+ "epoch": 4.1421319796954315,
443
+ "grad_norm": 0.8487386107444763,
444
+ "learning_rate": 0.00027411478242376017,
445
+ "loss": 3.5769,
446
+ "step": 255
447
+ },
448
+ {
449
+ "epoch": 4.223350253807107,
450
+ "grad_norm": 2.305914878845215,
451
+ "learning_rate": 0.00026519764986401774,
452
+ "loss": 1.824,
453
+ "step": 260
454
+ },
455
+ {
456
+ "epoch": 4.304568527918782,
457
+ "grad_norm": 0.5802918076515198,
458
+ "learning_rate": 0.000256261061875247,
459
+ "loss": 1.7698,
460
+ "step": 265
461
+ },
462
+ {
463
+ "epoch": 4.385786802030457,
464
+ "grad_norm": 0.5246661901473999,
465
+ "learning_rate": 0.0002473164587232079,
466
+ "loss": 1.8066,
467
+ "step": 270
468
+ },
469
+ {
470
+ "epoch": 4.467005076142132,
471
+ "grad_norm": 0.15261879563331604,
472
+ "learning_rate": 0.0002383752909343547,
473
+ "loss": 1.7924,
474
+ "step": 275
475
+ },
476
+ {
477
+ "epoch": 4.467005076142132,
478
+ "eval_loss": 1.708724021911621,
479
+ "eval_runtime": 89.1842,
480
+ "eval_samples_per_second": 11.213,
481
+ "eval_steps_per_second": 1.402,
482
+ "step": 275
483
+ },
484
+ {
485
+ "epoch": 4.548223350253807,
486
+ "grad_norm": 0.34460264444351196,
487
+ "learning_rate": 0.0002294490046373259,
488
+ "loss": 1.7864,
489
+ "step": 280
490
+ },
491
+ {
492
+ "epoch": 4.629441624365482,
493
+ "grad_norm": 0.2242611199617386,
494
+ "learning_rate": 0.00022054902691006405,
495
+ "loss": 1.788,
496
+ "step": 285
497
+ },
498
+ {
499
+ "epoch": 4.710659898477157,
500
+ "grad_norm": 0.19834347069263458,
501
+ "learning_rate": 0.00021168675115132315,
502
+ "loss": 1.7513,
503
+ "step": 290
504
+ },
505
+ {
506
+ "epoch": 4.791878172588833,
507
+ "grad_norm": 0.2671795189380646,
508
+ "learning_rate": 0.00020287352249529153,
509
+ "loss": 1.786,
510
+ "step": 295
511
+ },
512
+ {
513
+ "epoch": 4.873096446700508,
514
+ "grad_norm": 0.10885637998580933,
515
+ "learning_rate": 0.00019412062328800044,
516
+ "loss": 1.7419,
517
+ "step": 300
518
+ },
519
+ {
520
+ "epoch": 4.873096446700508,
521
+ "eval_loss": 1.6944421529769897,
522
+ "eval_runtime": 89.2057,
523
+ "eval_samples_per_second": 11.21,
524
+ "eval_steps_per_second": 1.401,
525
+ "step": 300
526
+ },
527
+ {
528
+ "epoch": 4.9543147208121825,
529
+ "grad_norm": 0.14026451110839844,
530
+ "learning_rate": 0.000185439258644112,
531
+ "loss": 1.7621,
532
+ "step": 305
533
+ },
534
+ {
535
+ "epoch": 5.035532994923858,
536
+ "grad_norm": 0.24394521117210388,
537
+ "learning_rate": 0.00017684054210257517,
538
+ "loss": 1.7105,
539
+ "step": 310
540
+ },
541
+ {
542
+ "epoch": 5.116751269035533,
543
+ "grad_norm": 0.17971426248550415,
544
+ "learning_rate": 0.00016833548139951395,
545
+ "loss": 1.7346,
546
+ "step": 315
547
+ },
548
+ {
549
+ "epoch": 5.197969543147208,
550
+ "grad_norm": 0.17999742925167084,
551
+ "learning_rate": 0.0001599349643765599,
552
+ "loss": 1.7767,
553
+ "step": 320
554
+ },
555
+ {
556
+ "epoch": 5.279187817258883,
557
+ "grad_norm": 0.10608798265457153,
558
+ "learning_rate": 0.0001516497450426686,
559
+ "loss": 1.8044,
560
+ "step": 325
561
+ },
562
+ {
563
+ "epoch": 5.279187817258883,
564
+ "eval_loss": 1.6952660083770752,
565
+ "eval_runtime": 89.0986,
566
+ "eval_samples_per_second": 11.224,
567
+ "eval_steps_per_second": 1.403,
568
+ "step": 325
569
+ },
570
+ {
571
+ "epoch": 5.3604060913705585,
572
+ "grad_norm": 0.09113989025354385,
573
+ "learning_rate": 0.00014349042980726362,
574
+ "loss": 1.7125,
575
+ "step": 330
576
+ },
577
+ {
578
+ "epoch": 5.441624365482234,
579
+ "grad_norm": 0.11321850121021271,
580
+ "learning_rate": 0.0001354674639023318,
581
+ "loss": 1.7597,
582
+ "step": 335
583
+ },
584
+ {
585
+ "epoch": 5.522842639593908,
586
+ "grad_norm": 0.1310632973909378,
587
+ "learning_rate": 0.00012759111801085066,
588
+ "loss": 1.7256,
589
+ "step": 340
590
+ },
591
+ {
592
+ "epoch": 5.604060913705584,
593
+ "grad_norm": 0.10128358006477356,
594
+ "learning_rate": 0.00011987147511866788,
595
+ "loss": 1.7871,
596
+ "step": 345
597
+ },
598
+ {
599
+ "epoch": 5.685279187817259,
600
+ "grad_norm": 0.3035777807235718,
601
+ "learning_rate": 0.00011231841760666186,
602
+ "loss": 1.7318,
603
+ "step": 350
604
+ },
605
+ {
606
+ "epoch": 5.685279187817259,
607
+ "eval_loss": 1.688687801361084,
608
+ "eval_runtime": 89.0633,
609
+ "eval_samples_per_second": 11.228,
610
+ "eval_steps_per_second": 1.403,
611
+ "step": 350
612
+ },
613
+ {
614
+ "epoch": 5.7664974619289335,
615
+ "grad_norm": 0.12795297801494598,
616
+ "learning_rate": 0.0001049416145997094,
617
+ "loss": 1.7698,
618
+ "step": 355
619
+ },
620
+ {
621
+ "epoch": 5.847715736040609,
622
+ "grad_norm": 0.15086208283901215,
623
+ "learning_rate": 9.775050958865584e-05,
624
+ "loss": 1.7826,
625
+ "step": 360
626
+ },
627
+ {
628
+ "epoch": 5.928934010152284,
629
+ "grad_norm": 0.14251065254211426,
630
+ "learning_rate": 9.075430834113152e-05,
631
+ "loss": 1.6859,
632
+ "step": 365
633
+ },
634
+ {
635
+ "epoch": 6.01015228426396,
636
+ "grad_norm": 0.0902705043554306,
637
+ "learning_rate": 8.396196711669335e-05,
638
+ "loss": 1.7259,
639
+ "step": 370
640
+ },
641
+ {
642
+ "epoch": 6.091370558375634,
643
+ "grad_norm": 0.23637209832668304,
644
+ "learning_rate": 7.738218120137671e-05,
645
+ "loss": 1.7052,
646
+ "step": 375
647
+ },
648
+ {
649
+ "epoch": 6.091370558375634,
650
+ "eval_loss": 1.6875873804092407,
651
+ "eval_runtime": 89.1637,
652
+ "eval_samples_per_second": 11.215,
653
+ "eval_steps_per_second": 1.402,
654
+ "step": 375
655
+ },
656
+ {
657
+ "epoch": 6.1725888324873095,
658
+ "grad_norm": 0.07396359741687775,
659
+ "learning_rate": 7.102337377633394e-05,
660
+ "loss": 1.7372,
661
+ "step": 380
662
+ },
663
+ {
664
+ "epoch": 6.253807106598985,
665
+ "grad_norm": 0.21548880636692047,
666
+ "learning_rate": 6.489368513481228e-05,
667
+ "loss": 1.7448,
668
+ "step": 385
669
+ },
670
+ {
671
+ "epoch": 6.33502538071066,
672
+ "grad_norm": 0.19514048099517822,
673
+ "learning_rate": 5.9000962261273136e-05,
674
+ "loss": 1.7359,
675
+ "step": 390
676
+ },
677
+ {
678
+ "epoch": 6.416243654822335,
679
+ "grad_norm": 0.16353292763233185,
680
+ "learning_rate": 5.3352748785993164e-05,
681
+ "loss": 1.7747,
682
+ "step": 395
683
+ },
684
+ {
685
+ "epoch": 6.49746192893401,
686
+ "grad_norm": 0.19792306423187256,
687
+ "learning_rate": 4.795627532800806e-05,
688
+ "loss": 1.7363,
689
+ "step": 400
690
+ },
691
+ {
692
+ "epoch": 6.49746192893401,
693
+ "eval_loss": 1.6819108724594116,
694
+ "eval_runtime": 89.1529,
695
+ "eval_samples_per_second": 11.217,
696
+ "eval_steps_per_second": 1.402,
697
+ "step": 400
698
+ },
699
+ {
700
+ "epoch": 6.5786802030456855,
701
+ "grad_norm": 0.08929474651813507,
702
+ "learning_rate": 4.281845023876074e-05,
703
+ "loss": 1.6744,
704
+ "step": 405
705
+ },
706
+ {
707
+ "epoch": 6.659898477157361,
708
+ "grad_norm": 0.09701024740934372,
709
+ "learning_rate": 3.794585075830329e-05,
710
+ "loss": 1.7144,
711
+ "step": 410
712
+ },
713
+ {
714
+ "epoch": 6.741116751269035,
715
+ "grad_norm": 0.06863227486610413,
716
+ "learning_rate": 3.334471459537497e-05,
717
+ "loss": 1.7863,
718
+ "step": 415
719
+ },
720
+ {
721
+ "epoch": 6.822335025380711,
722
+ "grad_norm": 0.07492458820343018,
723
+ "learning_rate": 2.902093194213526e-05,
724
+ "loss": 1.7385,
725
+ "step": 420
726
+ },
727
+ {
728
+ "epoch": 6.903553299492386,
729
+ "grad_norm": 0.09851057827472687,
730
+ "learning_rate": 2.4980037933772488e-05,
731
+ "loss": 1.7655,
732
+ "step": 425
733
+ },
734
+ {
735
+ "epoch": 6.903553299492386,
736
+ "eval_loss": 1.6825205087661743,
737
+ "eval_runtime": 89.1368,
738
+ "eval_samples_per_second": 11.219,
739
+ "eval_steps_per_second": 1.402,
740
+ "step": 425
741
+ },
742
+ {
743
+ "epoch": 6.9847715736040605,
744
+ "grad_norm": 0.07320298254489899,
745
+ "learning_rate": 2.122720556264357e-05,
746
+ "loss": 1.7219,
747
+ "step": 430
748
+ },
749
+ {
750
+ "epoch": 7.065989847715736,
751
+ "grad_norm": 0.07251249998807907,
752
+ "learning_rate": 1.776723905601438e-05,
753
+ "loss": 1.7049,
754
+ "step": 435
755
+ },
756
+ {
757
+ "epoch": 7.147208121827411,
758
+ "grad_norm": 0.07650978118181229,
759
+ "learning_rate": 1.4604567725877926e-05,
760
+ "loss": 1.7445,
761
+ "step": 440
762
+ },
763
+ {
764
+ "epoch": 7.228426395939087,
765
+ "grad_norm": 0.0650210827589035,
766
+ "learning_rate": 1.1743240298725116e-05,
767
+ "loss": 1.7892,
768
+ "step": 445
769
+ },
770
+ {
771
+ "epoch": 7.309644670050761,
772
+ "grad_norm": 0.06279773265123367,
773
+ "learning_rate": 9.18691973252539e-06,
774
+ "loss": 1.747,
775
+ "step": 450
776
+ },
777
+ {
778
+ "epoch": 7.309644670050761,
779
+ "eval_loss": 1.6831755638122559,
780
+ "eval_runtime": 89.0915,
781
+ "eval_samples_per_second": 11.224,
782
+ "eval_steps_per_second": 1.403,
783
+ "step": 450
784
+ },
785
+ {
786
+ "epoch": 7.3908629441624365,
787
+ "grad_norm": 0.0952860563993454,
788
+ "learning_rate": 6.938878527553066e-06,
789
+ "loss": 1.7054,
790
+ "step": 455
791
+ },
792
+ {
793
+ "epoch": 7.472081218274112,
794
+ "grad_norm": 0.07091079652309418,
795
+ "learning_rate": 5.001994537062265e-06,
796
+ "loss": 1.7471,
797
+ "step": 460
798
+ },
799
+ {
800
+ "epoch": 7.553299492385786,
801
+ "grad_norm": 0.07213548570871353,
802
+ "learning_rate": 3.3787472831732225e-06,
803
+ "loss": 1.7511,
804
+ "step": 465
805
+ },
806
+ {
807
+ "epoch": 7.634517766497462,
808
+ "grad_norm": 0.06398265808820724,
809
+ "learning_rate": 2.071214782686265e-06,
810
+ "loss": 1.6653,
811
+ "step": 470
812
+ },
813
+ {
814
+ "epoch": 7.715736040609137,
815
+ "grad_norm": 0.06733715534210205,
816
+ "learning_rate": 1.0810708868871643e-06,
817
+ "loss": 1.7363,
818
+ "step": 475
819
+ },
820
+ {
821
+ "epoch": 7.715736040609137,
822
+ "eval_loss": 1.6808745861053467,
823
+ "eval_runtime": 89.164,
824
+ "eval_samples_per_second": 11.215,
825
+ "eval_steps_per_second": 1.402,
826
+ "step": 475
827
+ }
828
+ ],
829
+ "logging_steps": 5,
830
+ "max_steps": 488,
831
+ "num_input_tokens_seen": 0,
832
+ "num_train_epochs": 8,
833
+ "save_steps": 25,
834
+ "stateful_callbacks": {
835
+ "TrainerControl": {
836
+ "args": {
837
+ "should_epoch_stop": false,
838
+ "should_evaluate": false,
839
+ "should_log": false,
840
+ "should_save": true,
841
+ "should_training_stop": false
842
+ },
843
+ "attributes": {}
844
+ }
845
+ },
846
+ "total_flos": 4.663017499145011e+17,
847
+ "train_batch_size": 8,
848
+ "trial_name": null,
849
+ "trial_params": null
850
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d97902bfc13c1b9ab8a3422b9a3725fc0b6cfbf917f062593b85e961fd03f09
3
+ size 5432