Model save
Browse files- README.md +2 -2
- all_results.json +4 -9
- train_results.json +4 -4
- trainer_state.json +60 -60
README.md
CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
20 |
|
21 |
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
-
- Loss: 2.
|
24 |
|
25 |
## Model description
|
26 |
|
@@ -57,7 +57,7 @@ The following hyperparameters were used during training:
|
|
57 |
|
58 |
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
|:-------------:|:------:|:----:|:---------------:|
|
60 |
-
| 1.
|
61 |
|
62 |
|
63 |
### Framework versions
|
|
|
20 |
|
21 |
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 2.2714
|
24 |
|
25 |
## Model description
|
26 |
|
|
|
57 |
|
58 |
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
|:-------------:|:------:|:----:|:---------------:|
|
60 |
+
| 1.4571 | 0.9961 | 129 | 2.2714 |
|
61 |
|
62 |
|
63 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,14 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 0.9961389961389961,
|
3 |
-
"eval_loss": 2.2848541736602783,
|
4 |
-
"eval_runtime": 1.1208,
|
5 |
-
"eval_samples": 15,
|
6 |
-
"eval_samples_per_second": 10.707,
|
7 |
-
"eval_steps_per_second": 0.892,
|
8 |
"total_flos": 7.61719099628716e+17,
|
9 |
-
"train_loss": 1.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 111440,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 0.9961389961389961,
|
|
|
|
|
|
|
|
|
|
|
3 |
"total_flos": 7.61719099628716e+17,
|
4 |
+
"train_loss": 1.5814437108446462,
|
5 |
+
"train_runtime": 642.9915,
|
6 |
"train_samples": 111440,
|
7 |
+
"train_samples_per_second": 51.55,
|
8 |
+
"train_steps_per_second": 0.201
|
9 |
}
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 0.9961389961389961,
|
3 |
"total_flos": 7.61719099628716e+17,
|
4 |
-
"train_loss": 1.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 111440,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 0.9961389961389961,
|
3 |
"total_flos": 7.61719099628716e+17,
|
4 |
+
"train_loss": 1.5814437108446462,
|
5 |
+
"train_runtime": 642.9915,
|
6 |
"train_samples": 111440,
|
7 |
+
"train_samples_per_second": 51.55,
|
8 |
+
"train_steps_per_second": 0.201
|
9 |
}
|
trainer_state.json
CHANGED
@@ -10,202 +10,202 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.007722007722007722,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 1.5384615384615387e-05,
|
15 |
-
"loss": 2.
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.03861003861003861,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 7.692307692307693e-05,
|
22 |
-
"loss": 2.
|
23 |
"step": 5
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.07722007722007722,
|
27 |
-
"grad_norm": 0.
|
28 |
"learning_rate": 0.00015384615384615385,
|
29 |
-
"loss": 2.
|
30 |
"step": 10
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11583011583011583,
|
34 |
-
"grad_norm": 0.
|
35 |
"learning_rate": 0.00019985334138511237,
|
36 |
-
"loss": 1.
|
37 |
"step": 15
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.15444015444015444,
|
41 |
-
"grad_norm": 0.
|
42 |
"learning_rate": 0.0001982083682742156,
|
43 |
-
"loss": 1.
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.19305019305019305,
|
48 |
-
"grad_norm": 0.
|
49 |
"learning_rate": 0.00019476531711828027,
|
50 |
-
"loss": 1.
|
51 |
"step": 25
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.23166023166023167,
|
55 |
-
"grad_norm": 0.
|
56 |
"learning_rate": 0.0001895872260758688,
|
57 |
-
"loss": 1.
|
58 |
"step": 30
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.2702702702702703,
|
62 |
-
"grad_norm": 0.
|
63 |
"learning_rate": 0.00018276889981568906,
|
64 |
-
"loss": 1.
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.3088803088803089,
|
69 |
-
"grad_norm": 0.
|
70 |
"learning_rate": 0.00017443517375622704,
|
71 |
-
"loss": 1.
|
72 |
"step": 40
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.3474903474903475,
|
76 |
-
"grad_norm": 0.
|
77 |
"learning_rate": 0.00016473862847818277,
|
78 |
-
"loss": 1.
|
79 |
"step": 45
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3861003861003861,
|
83 |
-
"grad_norm": 0.
|
84 |
"learning_rate": 0.00015385679615609042,
|
85 |
-
"loss": 1.
|
86 |
"step": 50
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.4247104247104247,
|
90 |
-
"grad_norm": 0.
|
91 |
"learning_rate": 0.00014198891015602646,
|
92 |
-
"loss": 1.
|
93 |
"step": 55
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.46332046332046334,
|
97 |
-
"grad_norm": 0.
|
98 |
"learning_rate": 0.00012935225731039348,
|
99 |
-
"loss": 1.
|
100 |
"step": 60
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.5019305019305019,
|
104 |
-
"grad_norm": 0.
|
105 |
"learning_rate": 0.0001161781996552765,
|
106 |
-
"loss": 1.
|
107 |
"step": 65
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.5405405405405406,
|
111 |
-
"grad_norm": 0.
|
112 |
"learning_rate": 0.00010270793846761347,
|
113 |
-
"loss": 1.
|
114 |
"step": 70
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.5791505791505791,
|
118 |
-
"grad_norm": 0.
|
119 |
"learning_rate": 8.918809815760585e-05,
|
120 |
-
"loss": 1.
|
121 |
"step": 75
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.6177606177606177,
|
125 |
-
"grad_norm": 0.
|
126 |
"learning_rate": 7.586621087002945e-05,
|
127 |
-
"loss": 1.
|
128 |
"step": 80
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.6563706563706564,
|
132 |
-
"grad_norm": 0.
|
133 |
"learning_rate": 6.298618446600856e-05,
|
134 |
-
"loss": 1.
|
135 |
"step": 85
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.694980694980695,
|
139 |
-
"grad_norm": 0.
|
140 |
"learning_rate": 5.078383686109926e-05,
|
141 |
-
"loss": 1.
|
142 |
"step": 90
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.7335907335907336,
|
146 |
-
"grad_norm": 0.
|
147 |
"learning_rate": 3.948257848062351e-05,
|
148 |
-
"loss": 1.
|
149 |
"step": 95
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.7722007722007722,
|
153 |
-
"grad_norm": 0.
|
154 |
"learning_rate": 2.9289321881345254e-05,
|
155 |
-
"loss": 1.
|
156 |
"step": 100
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.8108108108108109,
|
160 |
-
"grad_norm": 0.
|
161 |
"learning_rate": 2.0390693429435627e-05,
|
162 |
-
"loss": 1.
|
163 |
"step": 105
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.8494208494208494,
|
167 |
-
"grad_norm": 0.
|
168 |
"learning_rate": 1.2949616394382802e-05,
|
169 |
-
"loss": 1.
|
170 |
"step": 110
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.888030888030888,
|
174 |
-
"grad_norm": 0.
|
175 |
"learning_rate": 7.102328018320858e-06,
|
176 |
-
"loss": 1.
|
177 |
"step": 115
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.9266409266409267,
|
181 |
-
"grad_norm": 0.
|
182 |
"learning_rate": 2.9558851746788517e-06,
|
183 |
-
"loss": 1.
|
184 |
"step": 120
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.9652509652509652,
|
188 |
-
"grad_norm": 0.
|
189 |
"learning_rate": 5.862042845640403e-07,
|
190 |
-
"loss": 1.
|
191 |
"step": 125
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.9961389961389961,
|
195 |
-
"eval_loss": 2.
|
196 |
-
"eval_runtime":
|
197 |
-
"eval_samples_per_second":
|
198 |
-
"eval_steps_per_second":
|
199 |
"step": 129
|
200 |
},
|
201 |
{
|
202 |
"epoch": 0.9961389961389961,
|
203 |
"step": 129,
|
204 |
"total_flos": 7.61719099628716e+17,
|
205 |
-
"train_loss": 1.
|
206 |
-
"train_runtime":
|
207 |
-
"train_samples_per_second":
|
208 |
-
"train_steps_per_second": 0.
|
209 |
}
|
210 |
],
|
211 |
"logging_steps": 5,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.007722007722007722,
|
13 |
+
"grad_norm": 3.172396421432495,
|
14 |
"learning_rate": 1.5384615384615387e-05,
|
15 |
+
"loss": 2.1653,
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.03861003861003861,
|
20 |
+
"grad_norm": 2.1693484783172607,
|
21 |
"learning_rate": 7.692307692307693e-05,
|
22 |
+
"loss": 2.1599,
|
23 |
"step": 5
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.07722007722007722,
|
27 |
+
"grad_norm": 0.5863114595413208,
|
28 |
"learning_rate": 0.00015384615384615385,
|
29 |
+
"loss": 2.0828,
|
30 |
"step": 10
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.11583011583011583,
|
34 |
+
"grad_norm": 0.6443110108375549,
|
35 |
"learning_rate": 0.00019985334138511237,
|
36 |
+
"loss": 1.9643,
|
37 |
"step": 15
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.15444015444015444,
|
41 |
+
"grad_norm": 0.628454864025116,
|
42 |
"learning_rate": 0.0001982083682742156,
|
43 |
+
"loss": 1.813,
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.19305019305019305,
|
48 |
+
"grad_norm": 0.5933235883712769,
|
49 |
"learning_rate": 0.00019476531711828027,
|
50 |
+
"loss": 1.6936,
|
51 |
"step": 25
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.23166023166023167,
|
55 |
+
"grad_norm": 0.31888535618782043,
|
56 |
"learning_rate": 0.0001895872260758688,
|
57 |
+
"loss": 1.6382,
|
58 |
"step": 30
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.2702702702702703,
|
62 |
+
"grad_norm": 0.33554232120513916,
|
63 |
"learning_rate": 0.00018276889981568906,
|
64 |
+
"loss": 1.5888,
|
65 |
"step": 35
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.3088803088803089,
|
69 |
+
"grad_norm": 0.24805951118469238,
|
70 |
"learning_rate": 0.00017443517375622704,
|
71 |
+
"loss": 1.5513,
|
72 |
"step": 40
|
73 |
},
|
74 |
{
|
75 |
"epoch": 0.3474903474903475,
|
76 |
+
"grad_norm": 0.2511727213859558,
|
77 |
"learning_rate": 0.00016473862847818277,
|
78 |
+
"loss": 1.5439,
|
79 |
"step": 45
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.3861003861003861,
|
83 |
+
"grad_norm": 0.2083854228258133,
|
84 |
"learning_rate": 0.00015385679615609042,
|
85 |
+
"loss": 1.5181,
|
86 |
"step": 50
|
87 |
},
|
88 |
{
|
89 |
"epoch": 0.4247104247104247,
|
90 |
+
"grad_norm": 0.21075661480426788,
|
91 |
"learning_rate": 0.00014198891015602646,
|
92 |
+
"loss": 1.5124,
|
93 |
"step": 55
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.46332046332046334,
|
97 |
+
"grad_norm": 0.20275065302848816,
|
98 |
"learning_rate": 0.00012935225731039348,
|
99 |
+
"loss": 1.4972,
|
100 |
"step": 60
|
101 |
},
|
102 |
{
|
103 |
"epoch": 0.5019305019305019,
|
104 |
+
"grad_norm": 0.2260345220565796,
|
105 |
"learning_rate": 0.0001161781996552765,
|
106 |
+
"loss": 1.4923,
|
107 |
"step": 65
|
108 |
},
|
109 |
{
|
110 |
"epoch": 0.5405405405405406,
|
111 |
+
"grad_norm": 0.2425995022058487,
|
112 |
"learning_rate": 0.00010270793846761347,
|
113 |
+
"loss": 1.4897,
|
114 |
"step": 70
|
115 |
},
|
116 |
{
|
117 |
"epoch": 0.5791505791505791,
|
118 |
+
"grad_norm": 0.23694849014282227,
|
119 |
"learning_rate": 8.918809815760585e-05,
|
120 |
+
"loss": 1.4775,
|
121 |
"step": 75
|
122 |
},
|
123 |
{
|
124 |
"epoch": 0.6177606177606177,
|
125 |
+
"grad_norm": 0.26492005586624146,
|
126 |
"learning_rate": 7.586621087002945e-05,
|
127 |
+
"loss": 1.474,
|
128 |
"step": 80
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.6563706563706564,
|
132 |
+
"grad_norm": 0.21545687317848206,
|
133 |
"learning_rate": 6.298618446600856e-05,
|
134 |
+
"loss": 1.4795,
|
135 |
"step": 85
|
136 |
},
|
137 |
{
|
138 |
"epoch": 0.694980694980695,
|
139 |
+
"grad_norm": 0.2343147248029709,
|
140 |
"learning_rate": 5.078383686109926e-05,
|
141 |
+
"loss": 1.4562,
|
142 |
"step": 90
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.7335907335907336,
|
146 |
+
"grad_norm": 0.2037033885717392,
|
147 |
"learning_rate": 3.948257848062351e-05,
|
148 |
+
"loss": 1.4611,
|
149 |
"step": 95
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.7722007722007722,
|
153 |
+
"grad_norm": 0.24056674540042877,
|
154 |
"learning_rate": 2.9289321881345254e-05,
|
155 |
+
"loss": 1.4629,
|
156 |
"step": 100
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.8108108108108109,
|
160 |
+
"grad_norm": 0.22205579280853271,
|
161 |
"learning_rate": 2.0390693429435627e-05,
|
162 |
+
"loss": 1.4556,
|
163 |
"step": 105
|
164 |
},
|
165 |
{
|
166 |
"epoch": 0.8494208494208494,
|
167 |
+
"grad_norm": 0.2215537130832672,
|
168 |
"learning_rate": 1.2949616394382802e-05,
|
169 |
+
"loss": 1.4569,
|
170 |
"step": 110
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.888030888030888,
|
174 |
+
"grad_norm": 0.2468106597661972,
|
175 |
"learning_rate": 7.102328018320858e-06,
|
176 |
+
"loss": 1.4641,
|
177 |
"step": 115
|
178 |
},
|
179 |
{
|
180 |
"epoch": 0.9266409266409267,
|
181 |
+
"grad_norm": 0.23411813378334045,
|
182 |
"learning_rate": 2.9558851746788517e-06,
|
183 |
+
"loss": 1.4681,
|
184 |
"step": 120
|
185 |
},
|
186 |
{
|
187 |
"epoch": 0.9652509652509652,
|
188 |
+
"grad_norm": 0.2601025402545929,
|
189 |
"learning_rate": 5.862042845640403e-07,
|
190 |
+
"loss": 1.4571,
|
191 |
"step": 125
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.9961389961389961,
|
195 |
+
"eval_loss": 2.2714059352874756,
|
196 |
+
"eval_runtime": 0.7834,
|
197 |
+
"eval_samples_per_second": 15.317,
|
198 |
+
"eval_steps_per_second": 1.276,
|
199 |
"step": 129
|
200 |
},
|
201 |
{
|
202 |
"epoch": 0.9961389961389961,
|
203 |
"step": 129,
|
204 |
"total_flos": 7.61719099628716e+17,
|
205 |
+
"train_loss": 1.5814437108446462,
|
206 |
+
"train_runtime": 642.9915,
|
207 |
+
"train_samples_per_second": 51.55,
|
208 |
+
"train_steps_per_second": 0.201
|
209 |
}
|
210 |
],
|
211 |
"logging_steps": 5,
|