PeterJinGo
commited on
Commit
•
e0e1fc0
1
Parent(s):
5c1d958
Model save
Browse files- README.md +3 -5
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +611 -114
README.md
CHANGED
@@ -4,8 +4,6 @@ tags:
|
|
4 |
- trl
|
5 |
- sft
|
6 |
- generated_from_trainer
|
7 |
-
datasets:
|
8 |
-
- generator
|
9 |
model-index:
|
10 |
- name: zephyr-7b-sft-full-sftwdpodata
|
11 |
results: []
|
@@ -16,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# zephyr-7b-sft-full-sftwdpodata
|
18 |
|
19 |
-
This model was trained from scratch on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 1.
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -54,7 +52,7 @@ The following hyperparameters were used during training:
|
|
54 |
|
55 |
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
|:-------------:|:-----:|:----:|:---------------:|
|
57 |
-
| 1.
|
58 |
|
59 |
|
60 |
### Framework versions
|
|
|
4 |
- trl
|
5 |
- sft
|
6 |
- generated_from_trainer
|
|
|
|
|
7 |
model-index:
|
8 |
- name: zephyr-7b-sft-full-sftwdpodata
|
9 |
results: []
|
|
|
14 |
|
15 |
# zephyr-7b-sft-full-sftwdpodata
|
16 |
|
17 |
+
This model was trained from scratch on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 1.0375
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss |
|
54 |
|:-------------:|:-----:|:----:|:---------------:|
|
55 |
+
| 1.0685 | 1.0 | 478 | 1.0375 |
|
56 |
|
57 |
|
58 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 1.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 61134,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"total_flos": 97516887736320.0,
|
4 |
+
"train_loss": 1.1027952946379593,
|
5 |
+
"train_runtime": 1452.993,
|
6 |
"train_samples": 61134,
|
7 |
+
"train_samples_per_second": 42.075,
|
8 |
+
"train_steps_per_second": 0.329
|
9 |
}
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 1.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 61134,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 1.0,
|
3 |
+
"total_flos": 97516887736320.0,
|
4 |
+
"train_loss": 1.1027952946379593,
|
5 |
+
"train_runtime": 1452.993,
|
6 |
"train_samples": 61134,
|
7 |
+
"train_samples_per_second": 42.075,
|
8 |
+
"train_steps_per_second": 0.329
|
9 |
}
|
trainer_state.json
CHANGED
@@ -3,206 +3,703 @@
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 1.0,
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
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.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 1.
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss": 1.
|
23 |
"step": 5
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate":
|
29 |
-
"loss": 1.
|
30 |
"step": 10
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss": 1.
|
37 |
"step": 15
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 1.
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 25
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 1.
|
58 |
"step": 30
|
59 |
},
|
60 |
{
|
61 |
-
"epoch": 0.
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate": 4.
|
71 |
-
"loss": 1.
|
72 |
"step": 40
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm":
|
77 |
-
"learning_rate": 4.
|
78 |
-
"loss": 1.
|
79 |
"step": 45
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"grad_norm":
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 1.
|
86 |
"step": 50
|
87 |
},
|
88 |
{
|
89 |
-
"epoch": 0.
|
90 |
-
"grad_norm":
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 55
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"grad_norm":
|
98 |
-
"learning_rate":
|
99 |
-
"loss": 1.
|
100 |
"step": 60
|
101 |
},
|
102 |
{
|
103 |
-
"epoch": 0.
|
104 |
-
"grad_norm":
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 65
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0.
|
111 |
-
"grad_norm":
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 1.
|
114 |
"step": 70
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 1.
|
121 |
"step": 75
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 80
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0.
|
132 |
-
"grad_norm":
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 85
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"grad_norm":
|
140 |
-
"learning_rate":
|
141 |
-
"loss": 1.
|
142 |
"step": 90
|
143 |
},
|
144 |
{
|
145 |
-
"epoch": 0.
|
146 |
-
"grad_norm":
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 95
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 1.
|
156 |
"step": 100
|
157 |
},
|
158 |
{
|
159 |
-
"epoch": 0.
|
160 |
-
"grad_norm":
|
161 |
-
"learning_rate":
|
162 |
-
"loss": 1.
|
163 |
"step": 105
|
164 |
},
|
165 |
{
|
166 |
-
"epoch": 0.
|
167 |
-
"grad_norm":
|
168 |
-
"learning_rate":
|
169 |
-
"loss": 1.
|
170 |
"step": 110
|
171 |
},
|
172 |
{
|
173 |
-
"epoch": 0.
|
174 |
-
"grad_norm":
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 1.
|
177 |
"step": 115
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
-
"grad_norm":
|
182 |
-
"learning_rate":
|
183 |
-
"loss": 1.
|
184 |
"step": 120
|
185 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
186 |
{
|
187 |
"epoch": 1.0,
|
188 |
-
"eval_loss": 1.
|
189 |
-
"eval_runtime":
|
190 |
-
"eval_samples_per_second":
|
191 |
-
"eval_steps_per_second":
|
192 |
-
"step":
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.0,
|
196 |
-
"step":
|
197 |
-
"total_flos":
|
198 |
-
"train_loss": 1.
|
199 |
-
"train_runtime":
|
200 |
-
"train_samples_per_second":
|
201 |
-
"train_steps_per_second": 0.
|
202 |
}
|
203 |
],
|
204 |
"logging_steps": 5,
|
205 |
-
"max_steps":
|
206 |
"num_input_tokens_seen": 0,
|
207 |
"num_train_epochs": 1,
|
208 |
"save_steps": 100,
|
@@ -218,7 +715,7 @@
|
|
218 |
"attributes": {}
|
219 |
}
|
220 |
},
|
221 |
-
"total_flos":
|
222 |
"train_batch_size": 16,
|
223 |
"trial_name": null,
|
224 |
"trial_params": null
|
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 1.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 478,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.0020920502092050207,
|
13 |
+
"grad_norm": 8.136081343052572,
|
14 |
+
"learning_rate": 1.0416666666666666e-08,
|
15 |
+
"loss": 1.2533,
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.010460251046025104,
|
20 |
+
"grad_norm": 10.869224095264249,
|
21 |
+
"learning_rate": 5.208333333333333e-08,
|
22 |
+
"loss": 1.3074,
|
23 |
"step": 5
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.02092050209205021,
|
27 |
+
"grad_norm": 9.394947250234965,
|
28 |
+
"learning_rate": 1.0416666666666667e-07,
|
29 |
+
"loss": 1.3511,
|
30 |
"step": 10
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.03138075313807531,
|
34 |
+
"grad_norm": 8.48453952211364,
|
35 |
+
"learning_rate": 1.5624999999999999e-07,
|
36 |
+
"loss": 1.3286,
|
37 |
"step": 15
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.04184100418410042,
|
41 |
+
"grad_norm": 9.807884523848902,
|
42 |
+
"learning_rate": 2.0833333333333333e-07,
|
43 |
+
"loss": 1.2539,
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.05230125523012552,
|
48 |
+
"grad_norm": 6.770187197984029,
|
49 |
+
"learning_rate": 2.604166666666667e-07,
|
50 |
+
"loss": 1.2428,
|
51 |
"step": 25
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.06276150627615062,
|
55 |
+
"grad_norm": 4.388418711512584,
|
56 |
+
"learning_rate": 3.1249999999999997e-07,
|
57 |
+
"loss": 1.2573,
|
58 |
"step": 30
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 0.07322175732217573,
|
62 |
+
"grad_norm": 3.7767106766677507,
|
63 |
+
"learning_rate": 3.645833333333333e-07,
|
64 |
+
"loss": 1.254,
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.08368200836820083,
|
69 |
+
"grad_norm": 3.8857851665569503,
|
70 |
+
"learning_rate": 4.1666666666666667e-07,
|
71 |
+
"loss": 1.193,
|
72 |
"step": 40
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.09414225941422594,
|
76 |
+
"grad_norm": 3.6981444602921743,
|
77 |
+
"learning_rate": 4.6874999999999996e-07,
|
78 |
+
"loss": 1.2297,
|
79 |
"step": 45
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.10460251046025104,
|
83 |
+
"grad_norm": 3.164525008947102,
|
84 |
+
"learning_rate": 4.999733114418725e-07,
|
85 |
+
"loss": 1.2045,
|
86 |
"step": 50
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.11506276150627615,
|
90 |
+
"grad_norm": 3.3438200347539975,
|
91 |
+
"learning_rate": 4.996731305997416e-07,
|
92 |
+
"loss": 1.2055,
|
93 |
"step": 55
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.12552301255230125,
|
97 |
+
"grad_norm": 3.4475160228942117,
|
98 |
+
"learning_rate": 4.990398100856366e-07,
|
99 |
+
"loss": 1.1582,
|
100 |
"step": 60
|
101 |
},
|
102 |
{
|
103 |
+
"epoch": 0.13598326359832635,
|
104 |
+
"grad_norm": 4.990341002466793,
|
105 |
+
"learning_rate": 4.980741949411839e-07,
|
106 |
+
"loss": 1.169,
|
107 |
"step": 65
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.14644351464435146,
|
111 |
+
"grad_norm": 3.0806862112851725,
|
112 |
+
"learning_rate": 4.967775735898179e-07,
|
113 |
+
"loss": 1.1512,
|
114 |
"step": 70
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.15690376569037656,
|
118 |
+
"grad_norm": 3.2012998938874717,
|
119 |
+
"learning_rate": 4.951516761176343e-07,
|
120 |
+
"loss": 1.1196,
|
121 |
"step": 75
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.16736401673640167,
|
125 |
+
"grad_norm": 3.254309758852426,
|
126 |
+
"learning_rate": 4.931986719649298e-07,
|
127 |
+
"loss": 1.1321,
|
128 |
"step": 80
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.17782426778242677,
|
132 |
+
"grad_norm": 3.521038876761785,
|
133 |
+
"learning_rate": 4.909211670315114e-07,
|
134 |
+
"loss": 1.176,
|
135 |
"step": 85
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.18828451882845187,
|
139 |
+
"grad_norm": 3.1094901411244407,
|
140 |
+
"learning_rate": 4.883222001996351e-07,
|
141 |
+
"loss": 1.0846,
|
142 |
"step": 90
|
143 |
},
|
144 |
{
|
145 |
+
"epoch": 0.19874476987447698,
|
146 |
+
"grad_norm": 3.944726072257309,
|
147 |
+
"learning_rate": 4.854052392792161e-07,
|
148 |
+
"loss": 1.1643,
|
149 |
"step": 95
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.20920502092050208,
|
153 |
+
"grad_norm": 3.0199061104695275,
|
154 |
+
"learning_rate": 4.821741763807186e-07,
|
155 |
+
"loss": 1.1587,
|
156 |
"step": 100
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 0.2196652719665272,
|
160 |
+
"grad_norm": 3.0664109423340156,
|
161 |
+
"learning_rate": 4.786333227218995e-07,
|
162 |
+
"loss": 1.1017,
|
163 |
"step": 105
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 0.2301255230125523,
|
167 |
+
"grad_norm": 3.5363910368317404,
|
168 |
+
"learning_rate": 4.747874028753375e-07,
|
169 |
+
"loss": 1.118,
|
170 |
"step": 110
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 0.2405857740585774,
|
174 |
+
"grad_norm": 3.2790793251193913,
|
175 |
+
"learning_rate": 4.706415484644195e-07,
|
176 |
+
"loss": 1.1024,
|
177 |
"step": 115
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.2510460251046025,
|
181 |
+
"grad_norm": 3.1085664448119616,
|
182 |
+
"learning_rate": 4.662012913161997e-07,
|
183 |
+
"loss": 1.1253,
|
184 |
"step": 120
|
185 |
},
|
186 |
+
{
|
187 |
+
"epoch": 0.2615062761506276,
|
188 |
+
"grad_norm": 3.17942285679677,
|
189 |
+
"learning_rate": 4.614725560802639e-07,
|
190 |
+
"loss": 1.1144,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.2719665271966527,
|
195 |
+
"grad_norm": 2.9359440437528233,
|
196 |
+
"learning_rate": 4.5646165232345103e-07,
|
197 |
+
"loss": 1.0742,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.2824267782426778,
|
202 |
+
"grad_norm": 3.378239775065935,
|
203 |
+
"learning_rate": 4.511752661109768e-07,
|
204 |
+
"loss": 1.1246,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.2928870292887029,
|
209 |
+
"grad_norm": 3.0222815305213646,
|
210 |
+
"learning_rate": 4.456204510851956e-07,
|
211 |
+
"loss": 1.0949,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.303347280334728,
|
216 |
+
"grad_norm": 3.305312909236648,
|
217 |
+
"learning_rate": 4.398046190539024e-07,
|
218 |
+
"loss": 1.1114,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3138075313807531,
|
223 |
+
"grad_norm": 3.31590711665521,
|
224 |
+
"learning_rate": 4.337355301007335e-07,
|
225 |
+
"loss": 1.1266,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.32426778242677823,
|
230 |
+
"grad_norm": 3.7988390548789135,
|
231 |
+
"learning_rate": 4.2742128223086115e-07,
|
232 |
+
"loss": 1.0817,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.33472803347280333,
|
237 |
+
"grad_norm": 3.5053528166093195,
|
238 |
+
"learning_rate": 4.2087030056579986e-07,
|
239 |
+
"loss": 1.1247,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.34518828451882844,
|
244 |
+
"grad_norm": 3.002251062725114,
|
245 |
+
"learning_rate": 4.140913261017382e-07,
|
246 |
+
"loss": 1.0626,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.35564853556485354,
|
251 |
+
"grad_norm": 3.5448336222698997,
|
252 |
+
"learning_rate": 4.070934040463998e-07,
|
253 |
+
"loss": 1.0787,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.36610878661087864,
|
258 |
+
"grad_norm": 2.917615696290126,
|
259 |
+
"learning_rate": 3.9988587174999306e-07,
|
260 |
+
"loss": 1.0624,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.37656903765690375,
|
265 |
+
"grad_norm": 3.333598035642462,
|
266 |
+
"learning_rate": 3.9247834624635404e-07,
|
267 |
+
"loss": 1.0995,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.38702928870292885,
|
272 |
+
"grad_norm": 3.128496425971326,
|
273 |
+
"learning_rate": 3.848807114209074e-07,
|
274 |
+
"loss": 1.0672,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.39748953974895396,
|
279 |
+
"grad_norm": 3.178190677786049,
|
280 |
+
"learning_rate": 3.7710310482256523e-07,
|
281 |
+
"loss": 1.086,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.40794979079497906,
|
286 |
+
"grad_norm": 3.5211557677293204,
|
287 |
+
"learning_rate": 3.691559041371631e-07,
|
288 |
+
"loss": 1.0735,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.41841004184100417,
|
293 |
+
"grad_norm": 5.250340368942305,
|
294 |
+
"learning_rate": 3.610497133404795e-07,
|
295 |
+
"loss": 1.084,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.42887029288702927,
|
300 |
+
"grad_norm": 3.0435886010974325,
|
301 |
+
"learning_rate": 3.5279534854931674e-07,
|
302 |
+
"loss": 1.0937,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.4393305439330544,
|
307 |
+
"grad_norm": 3.155631541031488,
|
308 |
+
"learning_rate": 3.4440382358952115e-07,
|
309 |
+
"loss": 1.0526,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.4497907949790795,
|
314 |
+
"grad_norm": 3.1856253958176373,
|
315 |
+
"learning_rate": 3.3588633530019866e-07,
|
316 |
+
"loss": 1.0744,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.4602510460251046,
|
321 |
+
"grad_norm": 3.2478748519097516,
|
322 |
+
"learning_rate": 3.272542485937368e-07,
|
323 |
+
"loss": 1.0996,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.4707112970711297,
|
328 |
+
"grad_norm": 3.5150799679920652,
|
329 |
+
"learning_rate": 3.185190812915646e-07,
|
330 |
+
"loss": 1.0786,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.4811715481171548,
|
335 |
+
"grad_norm": 3.2027896128694904,
|
336 |
+
"learning_rate": 3.096924887558854e-07,
|
337 |
+
"loss": 1.0722,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.4916317991631799,
|
342 |
+
"grad_norm": 3.0097866657045333,
|
343 |
+
"learning_rate": 3.007862483378906e-07,
|
344 |
+
"loss": 1.0753,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.502092050209205,
|
349 |
+
"grad_norm": 2.8959084947264464,
|
350 |
+
"learning_rate": 2.9181224366319943e-07,
|
351 |
+
"loss": 1.0898,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.5125523012552301,
|
356 |
+
"grad_norm": 3.1849250279587555,
|
357 |
+
"learning_rate": 2.827824487755007e-07,
|
358 |
+
"loss": 1.1032,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.5230125523012552,
|
363 |
+
"grad_norm": 3.151630569719264,
|
364 |
+
"learning_rate": 2.7370891215954565e-07,
|
365 |
+
"loss": 1.0704,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.5334728033472803,
|
370 |
+
"grad_norm": 3.2021502155528534,
|
371 |
+
"learning_rate": 2.646037406648165e-07,
|
372 |
+
"loss": 1.0897,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.5439330543933054,
|
377 |
+
"grad_norm": 3.281246167153216,
|
378 |
+
"learning_rate": 2.55479083351317e-07,
|
379 |
+
"loss": 1.0572,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.5543933054393305,
|
384 |
+
"grad_norm": 3.286796060289107,
|
385 |
+
"learning_rate": 2.463471152790427e-07,
|
386 |
+
"loss": 1.0995,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.5648535564853556,
|
391 |
+
"grad_norm": 3.161375590564493,
|
392 |
+
"learning_rate": 2.3722002126275822e-07,
|
393 |
+
"loss": 1.1033,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.5753138075313807,
|
398 |
+
"grad_norm": 3.2395710239773834,
|
399 |
+
"learning_rate": 2.2810997961375938e-07,
|
400 |
+
"loss": 1.0621,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.5857740585774058,
|
405 |
+
"grad_norm": 3.246465238459929,
|
406 |
+
"learning_rate": 2.19029145890313e-07,
|
407 |
+
"loss": 1.0814,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.5962343096234309,
|
412 |
+
"grad_norm": 3.2179889434846087,
|
413 |
+
"learning_rate": 2.0998963667845536e-07,
|
414 |
+
"loss": 1.0905,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.606694560669456,
|
419 |
+
"grad_norm": 3.1419612482251154,
|
420 |
+
"learning_rate": 2.0100351342479216e-07,
|
421 |
+
"loss": 1.0668,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.6171548117154811,
|
426 |
+
"grad_norm": 3.5676672142270487,
|
427 |
+
"learning_rate": 1.920827663428714e-07,
|
428 |
+
"loss": 1.056,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.6276150627615062,
|
433 |
+
"grad_norm": 3.1612890211744267,
|
434 |
+
"learning_rate": 1.8323929841460178e-07,
|
435 |
+
"loss": 1.095,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.6380753138075314,
|
440 |
+
"grad_norm": 3.2825957498988956,
|
441 |
+
"learning_rate": 1.7448490950806548e-07,
|
442 |
+
"loss": 1.0861,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.6485355648535565,
|
447 |
+
"grad_norm": 3.726600439972812,
|
448 |
+
"learning_rate": 1.6583128063291573e-07,
|
449 |
+
"loss": 1.0501,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.6589958158995816,
|
454 |
+
"grad_norm": 3.1847430333577544,
|
455 |
+
"learning_rate": 1.572899583543671e-07,
|
456 |
+
"loss": 1.0644,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.6694560669456067,
|
461 |
+
"grad_norm": 3.229050818238049,
|
462 |
+
"learning_rate": 1.488723393865766e-07,
|
463 |
+
"loss": 1.0764,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.6799163179916318,
|
468 |
+
"grad_norm": 3.0713199002348155,
|
469 |
+
"learning_rate": 1.4058965538597032e-07,
|
470 |
+
"loss": 1.0416,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.6903765690376569,
|
475 |
+
"grad_norm": 3.357568728209587,
|
476 |
+
"learning_rate": 1.3245295796480788e-07,
|
477 |
+
"loss": 1.0694,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.700836820083682,
|
482 |
+
"grad_norm": 3.2375362653987705,
|
483 |
+
"learning_rate": 1.2447310394498017e-07,
|
484 |
+
"loss": 1.0341,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.7112970711297071,
|
489 |
+
"grad_norm": 3.2586888391876148,
|
490 |
+
"learning_rate": 1.1666074087171627e-07,
|
491 |
+
"loss": 1.0602,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.7217573221757322,
|
496 |
+
"grad_norm": 3.3346267359627126,
|
497 |
+
"learning_rate": 1.090262928065293e-07,
|
498 |
+
"loss": 1.0648,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.7322175732217573,
|
503 |
+
"grad_norm": 2.8836656878180857,
|
504 |
+
"learning_rate": 1.0157994641835734e-07,
|
505 |
+
"loss": 1.0398,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.7426778242677824,
|
510 |
+
"grad_norm": 3.206673738900126,
|
511 |
+
"learning_rate": 9.433163739145771e-08,
|
512 |
+
"loss": 1.0688,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.7531380753138075,
|
517 |
+
"grad_norm": 3.2095084267239495,
|
518 |
+
"learning_rate": 8.729103716819111e-08,
|
519 |
+
"loss": 1.0279,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.7635983263598326,
|
524 |
+
"grad_norm": 3.20440166136788,
|
525 |
+
"learning_rate": 8.046754004438428e-08,
|
526 |
+
"loss": 1.059,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.7740585774058577,
|
531 |
+
"grad_norm": 3.742393968055389,
|
532 |
+
"learning_rate": 7.387025063449081e-08,
|
533 |
+
"loss": 1.0595,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.7845188284518828,
|
538 |
+
"grad_norm": 3.2395714997445193,
|
539 |
+
"learning_rate": 6.75079717232744e-08,
|
540 |
+
"loss": 1.0486,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.7949790794979079,
|
545 |
+
"grad_norm": 3.2720407044526403,
|
546 |
+
"learning_rate": 6.138919252022435e-08,
|
547 |
+
"loss": 1.0704,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.805439330543933,
|
552 |
+
"grad_norm": 3.370063395554973,
|
553 |
+
"learning_rate": 5.552207733237543e-08,
|
554 |
+
"loss": 1.0606,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.8158995815899581,
|
559 |
+
"grad_norm": 3.0968930333404625,
|
560 |
+
"learning_rate": 4.991445467064689e-08,
|
561 |
+
"loss": 1.0566,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.8263598326359832,
|
566 |
+
"grad_norm": 3.3774763830658534,
|
567 |
+
"learning_rate": 4.4573806804234335e-08,
|
568 |
+
"loss": 1.0499,
|
569 |
+
"step": 395
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.8368200836820083,
|
573 |
+
"grad_norm": 3.44447850480557,
|
574 |
+
"learning_rate": 3.9507259776993954e-08,
|
575 |
+
"loss": 1.0559,
|
576 |
+
"step": 400
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.8472803347280334,
|
580 |
+
"grad_norm": 3.1498166707617594,
|
581 |
+
"learning_rate": 3.472157389913874e-08,
|
582 |
+
"loss": 1.0547,
|
583 |
+
"step": 405
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.8577405857740585,
|
587 |
+
"grad_norm": 3.3701661155234865,
|
588 |
+
"learning_rate": 3.022313472693447e-08,
|
589 |
+
"loss": 1.0985,
|
590 |
+
"step": 410
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.8682008368200836,
|
594 |
+
"grad_norm": 3.3374460611814154,
|
595 |
+
"learning_rate": 2.601794454243139e-08,
|
596 |
+
"loss": 1.0592,
|
597 |
+
"step": 415
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.8786610878661087,
|
601 |
+
"grad_norm": 3.390815082624942,
|
602 |
+
"learning_rate": 2.2111614344599684e-08,
|
603 |
+
"loss": 1.0762,
|
604 |
+
"step": 420
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.8891213389121339,
|
608 |
+
"grad_norm": 3.189149656101972,
|
609 |
+
"learning_rate": 1.850935636255496e-08,
|
610 |
+
"loss": 1.0932,
|
611 |
+
"step": 425
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.899581589958159,
|
615 |
+
"grad_norm": 3.9882552930751176,
|
616 |
+
"learning_rate": 1.521597710086439e-08,
|
617 |
+
"loss": 1.0775,
|
618 |
+
"step": 430
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.9100418410041841,
|
622 |
+
"grad_norm": 3.4652282672677934,
|
623 |
+
"learning_rate": 1.2235870926211616e-08,
|
624 |
+
"loss": 1.0556,
|
625 |
+
"step": 435
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.9205020920502092,
|
629 |
+
"grad_norm": 4.369109278161751,
|
630 |
+
"learning_rate": 9.57301420397924e-09,
|
631 |
+
"loss": 1.0415,
|
632 |
+
"step": 440
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.9309623430962343,
|
636 |
+
"grad_norm": 3.2834964218858356,
|
637 |
+
"learning_rate": 7.230959992571367e-09,
|
638 |
+
"loss": 1.0751,
|
639 |
+
"step": 445
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.9414225941422594,
|
643 |
+
"grad_norm": 3.300455182998976,
|
644 |
+
"learning_rate": 5.212833302556258e-09,
|
645 |
+
"loss": 1.0353,
|
646 |
+
"step": 450
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.9518828451882845,
|
650 |
+
"grad_norm": 3.201301345623655,
|
651 |
+
"learning_rate": 3.521326926954532e-09,
|
652 |
+
"loss": 1.0647,
|
653 |
+
"step": 455
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.9623430962343096,
|
657 |
+
"grad_norm": 3.3648524524406622,
|
658 |
+
"learning_rate": 2.158697848236607e-09,
|
659 |
+
"loss": 1.0874,
|
660 |
+
"step": 460
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.9728033472803347,
|
664 |
+
"grad_norm": 3.743838451577809,
|
665 |
+
"learning_rate": 1.126764226823812e-09,
|
666 |
+
"loss": 1.0479,
|
667 |
+
"step": 465
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.9832635983263598,
|
671 |
+
"grad_norm": 3.2562966396262167,
|
672 |
+
"learning_rate": 4.269029751107489e-10,
|
673 |
+
"loss": 1.0317,
|
674 |
+
"step": 470
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.9937238493723849,
|
678 |
+
"grad_norm": 3.1980061195336846,
|
679 |
+
"learning_rate": 6.004792024680294e-11,
|
680 |
+
"loss": 1.0685,
|
681 |
+
"step": 475
|
682 |
+
},
|
683 |
{
|
684 |
"epoch": 1.0,
|
685 |
+
"eval_loss": 1.0374830961227417,
|
686 |
+
"eval_runtime": 10.4617,
|
687 |
+
"eval_samples_per_second": 191.174,
|
688 |
+
"eval_steps_per_second": 3.059,
|
689 |
+
"step": 478
|
690 |
},
|
691 |
{
|
692 |
"epoch": 1.0,
|
693 |
+
"step": 478,
|
694 |
+
"total_flos": 97516887736320.0,
|
695 |
+
"train_loss": 1.1027952946379593,
|
696 |
+
"train_runtime": 1452.993,
|
697 |
+
"train_samples_per_second": 42.075,
|
698 |
+
"train_steps_per_second": 0.329
|
699 |
}
|
700 |
],
|
701 |
"logging_steps": 5,
|
702 |
+
"max_steps": 478,
|
703 |
"num_input_tokens_seen": 0,
|
704 |
"num_train_epochs": 1,
|
705 |
"save_steps": 100,
|
|
|
715 |
"attributes": {}
|
716 |
}
|
717 |
},
|
718 |
+
"total_flos": 97516887736320.0,
|
719 |
"train_batch_size": 16,
|
720 |
"trial_name": null,
|
721 |
"trial_params": null
|