Trained with more data
Browse files- all_results.json +6 -11
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- tokenizer.json +1 -1
- train_results.json +6 -6
- trainer_state.json +314 -104
all_results.json
CHANGED
@@ -1,14 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
8 |
-
"
|
9 |
-
"train_loss": 1.9159377371910775,
|
10 |
-
"train_runtime": 858.1835,
|
11 |
-
"train_samples": 9693,
|
12 |
-
"train_samples_per_second": 112.948,
|
13 |
-
"train_steps_per_second": 14.123
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"total_flos": 2.615057185279181e+16,
|
4 |
+
"train_loss": 1.8617943959923335,
|
5 |
+
"train_runtime": 1938.923,
|
6 |
+
"train_samples": 21811,
|
7 |
+
"train_samples_per_second": 112.49,
|
8 |
+
"train_steps_per_second": 14.065
|
|
|
|
|
|
|
|
|
|
|
9 |
}
|
config.json
CHANGED
@@ -55,7 +55,7 @@
|
|
55 |
}
|
56 |
},
|
57 |
"torch_dtype": "float32",
|
58 |
-
"transformers_version": "4.
|
59 |
"use_cache": true,
|
60 |
"vocab_size": 32128
|
61 |
}
|
|
|
55 |
}
|
56 |
},
|
57 |
"torch_dtype": "float32",
|
58 |
+
"transformers_version": "4.45.1",
|
59 |
"use_cache": true,
|
60 |
"vocab_size": 32128
|
61 |
}
|
generation_config.json
CHANGED
@@ -2,5 +2,5 @@
|
|
2 |
"decoder_start_token_id": 0,
|
3 |
"eos_token_id": 1,
|
4 |
"pad_token_id": 0,
|
5 |
-
"transformers_version": "4.
|
6 |
}
|
|
|
2 |
"decoder_start_token_id": 0,
|
3 |
"eos_token_id": 1,
|
4 |
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.45.1"
|
6 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 242041896
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c45451090f738291073f43a87918d8f3c94c97a23ce24543100114626e906a8f
|
3 |
size 242041896
|
tokenizer.json
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"version": "1.0",
|
3 |
"truncation": {
|
4 |
"direction": "Right",
|
5 |
-
"max_length":
|
6 |
"strategy": "LongestFirst",
|
7 |
"stride": 0
|
8 |
},
|
|
|
2 |
"version": "1.0",
|
3 |
"truncation": {
|
4 |
"direction": "Right",
|
5 |
+
"max_length": 256,
|
6 |
"strategy": "LongestFirst",
|
7 |
"stride": 0
|
8 |
},
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 1.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second": 112.
|
8 |
-
"train_steps_per_second": 14.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"total_flos": 2.615057185279181e+16,
|
4 |
+
"train_loss": 1.8617943959923335,
|
5 |
+
"train_runtime": 1938.923,
|
6 |
+
"train_samples": 21811,
|
7 |
+
"train_samples_per_second": 112.49,
|
8 |
+
"train_steps_per_second": 14.065
|
9 |
}
|
trainer_state.json
CHANGED
@@ -3,191 +3,401 @@
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 10.0,
|
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": 2.
|
14 |
-
"learning_rate": 4.
|
15 |
-
"loss": 2.
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm": 2.
|
21 |
-
"learning_rate": 4.
|
22 |
-
"loss": 2.
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
-
"epoch":
|
27 |
-
"grad_norm": 3.
|
28 |
-
"learning_rate": 4.
|
29 |
-
"loss": 2.
|
30 |
"step": 1500
|
31 |
},
|
32 |
{
|
33 |
-
"epoch":
|
34 |
-
"grad_norm": 2.
|
35 |
-
"learning_rate": 4.
|
36 |
-
"loss": 2.
|
37 |
"step": 2000
|
38 |
},
|
39 |
{
|
40 |
-
"epoch":
|
41 |
-
"grad_norm": 2.
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 2.
|
44 |
"step": 2500
|
45 |
},
|
46 |
{
|
47 |
-
"epoch":
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate":
|
50 |
-
"loss": 1.
|
51 |
"step": 3000
|
52 |
},
|
53 |
{
|
54 |
-
"epoch":
|
55 |
-
"grad_norm": 2.
|
56 |
-
"learning_rate":
|
57 |
-
"loss": 1.
|
58 |
"step": 3500
|
59 |
},
|
60 |
{
|
61 |
-
"epoch":
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 1.
|
65 |
"step": 4000
|
66 |
},
|
67 |
{
|
68 |
-
"epoch":
|
69 |
-
"grad_norm":
|
70 |
-
"learning_rate":
|
71 |
-
"loss": 1.
|
72 |
"step": 4500
|
73 |
},
|
74 |
{
|
75 |
-
"epoch":
|
76 |
-
"grad_norm": 2.
|
77 |
-
"learning_rate":
|
78 |
-
"loss": 1.
|
79 |
"step": 5000
|
80 |
},
|
81 |
{
|
82 |
-
"epoch":
|
83 |
-
"grad_norm": 2.
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 1.
|
86 |
"step": 5500
|
87 |
},
|
88 |
{
|
89 |
-
"epoch":
|
90 |
-
"grad_norm": 2.
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 6000
|
94 |
},
|
95 |
{
|
96 |
-
"epoch":
|
97 |
-
"grad_norm": 2.
|
98 |
-
"learning_rate":
|
99 |
-
"loss": 1.
|
100 |
"step": 6500
|
101 |
},
|
102 |
{
|
103 |
-
"epoch":
|
104 |
-
"grad_norm": 2.
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 1.
|
107 |
"step": 7000
|
108 |
},
|
109 |
{
|
110 |
-
"epoch":
|
111 |
-
"grad_norm":
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 1.
|
114 |
"step": 7500
|
115 |
},
|
116 |
{
|
117 |
-
"epoch":
|
118 |
-
"grad_norm":
|
119 |
-
"learning_rate":
|
120 |
-
"loss": 1.
|
121 |
"step": 8000
|
122 |
},
|
123 |
{
|
124 |
-
"epoch":
|
125 |
-
"grad_norm":
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 8500
|
129 |
},
|
130 |
{
|
131 |
-
"epoch":
|
132 |
-
"grad_norm": 2.
|
133 |
-
"learning_rate":
|
134 |
-
"loss": 1.
|
135 |
"step": 9000
|
136 |
},
|
137 |
{
|
138 |
-
"epoch":
|
139 |
-
"grad_norm": 2.
|
140 |
-
"learning_rate":
|
141 |
-
"loss": 1.
|
142 |
"step": 9500
|
143 |
},
|
144 |
{
|
145 |
-
"epoch":
|
146 |
-
"grad_norm": 2.
|
147 |
-
"learning_rate":
|
148 |
-
"loss": 1.
|
149 |
"step": 10000
|
150 |
},
|
151 |
{
|
152 |
-
"epoch":
|
153 |
-
"grad_norm":
|
154 |
-
"learning_rate":
|
155 |
-
"loss": 1.
|
156 |
"step": 10500
|
157 |
},
|
158 |
{
|
159 |
-
"epoch":
|
160 |
-
"grad_norm": 2.
|
161 |
-
"learning_rate":
|
162 |
-
"loss": 1.
|
163 |
"step": 11000
|
164 |
},
|
165 |
{
|
166 |
-
"epoch":
|
167 |
-
"grad_norm": 2.
|
168 |
-
"learning_rate": 2.
|
169 |
-
"loss": 1.
|
170 |
"step": 11500
|
171 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
172 |
{
|
173 |
"epoch": 9.900990099009901,
|
174 |
-
"grad_norm":
|
175 |
"learning_rate": 4.950495049504951e-07,
|
176 |
-
"loss": 1.
|
177 |
-
"step":
|
178 |
},
|
179 |
{
|
180 |
"epoch": 10.0,
|
181 |
-
"step":
|
182 |
-
"total_flos":
|
183 |
-
"train_loss": 1.
|
184 |
-
"train_runtime":
|
185 |
-
"train_samples_per_second": 112.
|
186 |
-
"train_steps_per_second": 14.
|
187 |
}
|
188 |
],
|
189 |
"logging_steps": 500,
|
190 |
-
"max_steps":
|
191 |
"num_input_tokens_seen": 0,
|
192 |
"num_train_epochs": 10,
|
193 |
"save_steps": 500,
|
@@ -203,7 +413,7 @@
|
|
203 |
"attributes": {}
|
204 |
}
|
205 |
},
|
206 |
-
"total_flos":
|
207 |
"train_batch_size": 8,
|
208 |
"trial_name": null,
|
209 |
"trial_params": null
|
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 10.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 27270,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.18335166850018336,
|
13 |
+
"grad_norm": 2.6387195587158203,
|
14 |
+
"learning_rate": 4.908324165749908e-05,
|
15 |
+
"loss": 2.1955,
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.3667033370003667,
|
20 |
+
"grad_norm": 2.266592025756836,
|
21 |
+
"learning_rate": 4.816648331499817e-05,
|
22 |
+
"loss": 2.0932,
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.5500550055005501,
|
27 |
+
"grad_norm": 3.0838563442230225,
|
28 |
+
"learning_rate": 4.724972497249725e-05,
|
29 |
+
"loss": 2.048,
|
30 |
"step": 1500
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.7334066740007334,
|
34 |
+
"grad_norm": 2.5882773399353027,
|
35 |
+
"learning_rate": 4.633296662999633e-05,
|
36 |
+
"loss": 2.0419,
|
37 |
"step": 2000
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.9167583425009168,
|
41 |
+
"grad_norm": 2.441417694091797,
|
42 |
+
"learning_rate": 4.541620828749542e-05,
|
43 |
+
"loss": 2.0299,
|
44 |
"step": 2500
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 1.1001100110011002,
|
48 |
+
"grad_norm": 2.2205169200897217,
|
49 |
+
"learning_rate": 4.449944994499451e-05,
|
50 |
+
"loss": 1.9854,
|
51 |
"step": 3000
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 1.2834616795012834,
|
55 |
+
"grad_norm": 2.802492380142212,
|
56 |
+
"learning_rate": 4.358269160249359e-05,
|
57 |
+
"loss": 1.9621,
|
58 |
"step": 3500
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 1.466813348001467,
|
62 |
+
"grad_norm": 6.791469573974609,
|
63 |
+
"learning_rate": 4.266593325999267e-05,
|
64 |
+
"loss": 1.957,
|
65 |
"step": 4000
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 1.6501650165016502,
|
69 |
+
"grad_norm": 2.5560526847839355,
|
70 |
+
"learning_rate": 4.174917491749175e-05,
|
71 |
+
"loss": 1.9447,
|
72 |
"step": 4500
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 1.8335166850018334,
|
76 |
+
"grad_norm": 2.623948812484741,
|
77 |
+
"learning_rate": 4.0832416574990836e-05,
|
78 |
+
"loss": 1.9517,
|
79 |
"step": 5000
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 2.0168683535020167,
|
83 |
+
"grad_norm": 2.395932674407959,
|
84 |
+
"learning_rate": 3.991565823248992e-05,
|
85 |
+
"loss": 1.9559,
|
86 |
"step": 5500
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 2.2002200220022003,
|
90 |
+
"grad_norm": 2.153954267501831,
|
91 |
+
"learning_rate": 3.8998899889989e-05,
|
92 |
+
"loss": 1.9099,
|
93 |
"step": 6000
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 2.3835716905023836,
|
97 |
+
"grad_norm": 2.0535569190979004,
|
98 |
+
"learning_rate": 3.808214154748808e-05,
|
99 |
+
"loss": 1.8994,
|
100 |
"step": 6500
|
101 |
},
|
102 |
{
|
103 |
+
"epoch": 2.566923359002567,
|
104 |
+
"grad_norm": 2.264138698577881,
|
105 |
+
"learning_rate": 3.716538320498717e-05,
|
106 |
+
"loss": 1.9069,
|
107 |
"step": 7000
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 2.7502750275027505,
|
111 |
+
"grad_norm": 1.9639852046966553,
|
112 |
+
"learning_rate": 3.624862486248625e-05,
|
113 |
+
"loss": 1.9109,
|
114 |
"step": 7500
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 2.933626696002934,
|
118 |
+
"grad_norm": 1.975576639175415,
|
119 |
+
"learning_rate": 3.5331866519985334e-05,
|
120 |
+
"loss": 1.9207,
|
121 |
"step": 8000
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 3.116978364503117,
|
125 |
+
"grad_norm": 1.8623844385147095,
|
126 |
+
"learning_rate": 3.4415108177484414e-05,
|
127 |
+
"loss": 1.8771,
|
128 |
"step": 8500
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 3.3003300330033003,
|
132 |
+
"grad_norm": 2.512981653213501,
|
133 |
+
"learning_rate": 3.34983498349835e-05,
|
134 |
+
"loss": 1.8801,
|
135 |
"step": 9000
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 3.4836817015034836,
|
139 |
+
"grad_norm": 2.324370861053467,
|
140 |
+
"learning_rate": 3.258159149248258e-05,
|
141 |
+
"loss": 1.8746,
|
142 |
"step": 9500
|
143 |
},
|
144 |
{
|
145 |
+
"epoch": 3.667033370003667,
|
146 |
+
"grad_norm": 2.3853843212127686,
|
147 |
+
"learning_rate": 3.166483314998166e-05,
|
148 |
+
"loss": 1.8549,
|
149 |
"step": 10000
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 3.8503850385038505,
|
153 |
+
"grad_norm": 1.7555441856384277,
|
154 |
+
"learning_rate": 3.074807480748075e-05,
|
155 |
+
"loss": 1.8724,
|
156 |
"step": 10500
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 4.033736707004033,
|
160 |
+
"grad_norm": 2.166177749633789,
|
161 |
+
"learning_rate": 2.983131646497983e-05,
|
162 |
+
"loss": 1.8574,
|
163 |
"step": 11000
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 4.2170883755042174,
|
167 |
+
"grad_norm": 2.927156925201416,
|
168 |
+
"learning_rate": 2.891455812247892e-05,
|
169 |
+
"loss": 1.8507,
|
170 |
"step": 11500
|
171 |
},
|
172 |
+
{
|
173 |
+
"epoch": 4.400440044004401,
|
174 |
+
"grad_norm": 2.2842493057250977,
|
175 |
+
"learning_rate": 2.7997799779978003e-05,
|
176 |
+
"loss": 1.8447,
|
177 |
+
"step": 12000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 4.583791712504584,
|
181 |
+
"grad_norm": 2.1565608978271484,
|
182 |
+
"learning_rate": 2.7081041437477084e-05,
|
183 |
+
"loss": 1.8359,
|
184 |
+
"step": 12500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 4.767143381004767,
|
188 |
+
"grad_norm": 2.3850159645080566,
|
189 |
+
"learning_rate": 2.6164283094976168e-05,
|
190 |
+
"loss": 1.8413,
|
191 |
+
"step": 13000
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 4.9504950495049505,
|
195 |
+
"grad_norm": 2.2318992614746094,
|
196 |
+
"learning_rate": 2.5247524752475248e-05,
|
197 |
+
"loss": 1.8397,
|
198 |
+
"step": 13500
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 5.133846718005134,
|
202 |
+
"grad_norm": 2.347505569458008,
|
203 |
+
"learning_rate": 2.4330766409974332e-05,
|
204 |
+
"loss": 1.8196,
|
205 |
+
"step": 14000
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 5.317198386505317,
|
209 |
+
"grad_norm": 2.1487085819244385,
|
210 |
+
"learning_rate": 2.3414008067473413e-05,
|
211 |
+
"loss": 1.8309,
|
212 |
+
"step": 14500
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 5.5005500550055,
|
216 |
+
"grad_norm": 2.21701717376709,
|
217 |
+
"learning_rate": 2.24972497249725e-05,
|
218 |
+
"loss": 1.8212,
|
219 |
+
"step": 15000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 5.683901723505684,
|
223 |
+
"grad_norm": 2.2371625900268555,
|
224 |
+
"learning_rate": 2.158049138247158e-05,
|
225 |
+
"loss": 1.8148,
|
226 |
+
"step": 15500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 5.867253392005868,
|
230 |
+
"grad_norm": 2.157254457473755,
|
231 |
+
"learning_rate": 2.0663733039970665e-05,
|
232 |
+
"loss": 1.83,
|
233 |
+
"step": 16000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 6.050605060506051,
|
237 |
+
"grad_norm": 2.467193603515625,
|
238 |
+
"learning_rate": 1.9746974697469746e-05,
|
239 |
+
"loss": 1.8115,
|
240 |
+
"step": 16500
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 6.233956729006234,
|
244 |
+
"grad_norm": 2.3348140716552734,
|
245 |
+
"learning_rate": 1.883021635496883e-05,
|
246 |
+
"loss": 1.8037,
|
247 |
+
"step": 17000
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 6.417308397506417,
|
251 |
+
"grad_norm": 2.6734750270843506,
|
252 |
+
"learning_rate": 1.7913458012467914e-05,
|
253 |
+
"loss": 1.805,
|
254 |
+
"step": 17500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 6.600660066006601,
|
258 |
+
"grad_norm": 2.0465357303619385,
|
259 |
+
"learning_rate": 1.6996699669966998e-05,
|
260 |
+
"loss": 1.8014,
|
261 |
+
"step": 18000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 6.784011734506784,
|
265 |
+
"grad_norm": 2.7078983783721924,
|
266 |
+
"learning_rate": 1.6079941327466082e-05,
|
267 |
+
"loss": 1.7988,
|
268 |
+
"step": 18500
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 6.967363403006967,
|
272 |
+
"grad_norm": 2.771340847015381,
|
273 |
+
"learning_rate": 1.5163182984965163e-05,
|
274 |
+
"loss": 1.796,
|
275 |
+
"step": 19000
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 7.15071507150715,
|
279 |
+
"grad_norm": 2.8874900341033936,
|
280 |
+
"learning_rate": 1.4246424642464248e-05,
|
281 |
+
"loss": 1.7986,
|
282 |
+
"step": 19500
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 7.334066740007334,
|
286 |
+
"grad_norm": 2.211998701095581,
|
287 |
+
"learning_rate": 1.3329666299963331e-05,
|
288 |
+
"loss": 1.7963,
|
289 |
+
"step": 20000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 7.517418408507518,
|
293 |
+
"grad_norm": 2.0423145294189453,
|
294 |
+
"learning_rate": 1.2412907957462413e-05,
|
295 |
+
"loss": 1.7784,
|
296 |
+
"step": 20500
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 7.700770077007701,
|
300 |
+
"grad_norm": 2.0297274589538574,
|
301 |
+
"learning_rate": 1.1496149614961496e-05,
|
302 |
+
"loss": 1.7987,
|
303 |
+
"step": 21000
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 7.884121745507884,
|
307 |
+
"grad_norm": 2.6104135513305664,
|
308 |
+
"learning_rate": 1.057939127246058e-05,
|
309 |
+
"loss": 1.7847,
|
310 |
+
"step": 21500
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 8.067473414008067,
|
314 |
+
"grad_norm": 2.4602534770965576,
|
315 |
+
"learning_rate": 9.662632929959662e-06,
|
316 |
+
"loss": 1.7903,
|
317 |
+
"step": 22000
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 8.250825082508252,
|
321 |
+
"grad_norm": 2.1262950897216797,
|
322 |
+
"learning_rate": 8.745874587458746e-06,
|
323 |
+
"loss": 1.795,
|
324 |
+
"step": 22500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 8.434176751008435,
|
328 |
+
"grad_norm": 2.538703680038452,
|
329 |
+
"learning_rate": 7.829116244957828e-06,
|
330 |
+
"loss": 1.7708,
|
331 |
+
"step": 23000
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 8.617528419508618,
|
335 |
+
"grad_norm": 2.607891321182251,
|
336 |
+
"learning_rate": 6.912357902456913e-06,
|
337 |
+
"loss": 1.7824,
|
338 |
+
"step": 23500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 8.800880088008801,
|
342 |
+
"grad_norm": 2.0636353492736816,
|
343 |
+
"learning_rate": 5.995599559955996e-06,
|
344 |
+
"loss": 1.7651,
|
345 |
+
"step": 24000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 8.984231756508985,
|
349 |
+
"grad_norm": 2.1311886310577393,
|
350 |
+
"learning_rate": 5.078841217455079e-06,
|
351 |
+
"loss": 1.7825,
|
352 |
+
"step": 24500
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 9.167583425009168,
|
356 |
+
"grad_norm": 2.185648202896118,
|
357 |
+
"learning_rate": 4.162082874954162e-06,
|
358 |
+
"loss": 1.7744,
|
359 |
+
"step": 25000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 9.350935093509351,
|
363 |
+
"grad_norm": 2.149644374847412,
|
364 |
+
"learning_rate": 3.2453245324532458e-06,
|
365 |
+
"loss": 1.781,
|
366 |
+
"step": 25500
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 9.534286762009534,
|
370 |
+
"grad_norm": 2.1185684204101562,
|
371 |
+
"learning_rate": 2.3285661899523286e-06,
|
372 |
+
"loss": 1.7712,
|
373 |
+
"step": 26000
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 9.717638430509718,
|
377 |
+
"grad_norm": 2.186683416366577,
|
378 |
+
"learning_rate": 1.411807847451412e-06,
|
379 |
+
"loss": 1.7739,
|
380 |
+
"step": 26500
|
381 |
+
},
|
382 |
{
|
383 |
"epoch": 9.900990099009901,
|
384 |
+
"grad_norm": 2.319247007369995,
|
385 |
"learning_rate": 4.950495049504951e-07,
|
386 |
+
"loss": 1.7713,
|
387 |
+
"step": 27000
|
388 |
},
|
389 |
{
|
390 |
"epoch": 10.0,
|
391 |
+
"step": 27270,
|
392 |
+
"total_flos": 2.615057185279181e+16,
|
393 |
+
"train_loss": 1.8617943959923335,
|
394 |
+
"train_runtime": 1938.923,
|
395 |
+
"train_samples_per_second": 112.49,
|
396 |
+
"train_steps_per_second": 14.065
|
397 |
}
|
398 |
],
|
399 |
"logging_steps": 500,
|
400 |
+
"max_steps": 27270,
|
401 |
"num_input_tokens_seen": 0,
|
402 |
"num_train_epochs": 10,
|
403 |
"save_steps": 500,
|
|
|
413 |
"attributes": {}
|
414 |
}
|
415 |
},
|
416 |
+
"total_flos": 2.615057185279181e+16,
|
417 |
"train_batch_size": 8,
|
418 |
"trial_name": null,
|
419 |
"trial_params": null
|