End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +507 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: llama3-1_8b_oh_dcft_v1_wo_slim_orca_500k
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# llama3-1_8b_oh_dcft_v1_wo_slim_orca_500k
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.3945
|
21 |
|
|
|
4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: llama3-1_8b_oh_dcft_v1_wo_slim_orca_500k
|
|
|
16 |
|
17 |
# llama3-1_8b_oh_dcft_v1_wo_slim_orca_500k
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/OH_DCFT_v1_wo_slim_orca_500k dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.3945
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 0.39452776312828064,
|
4 |
+
"eval_runtime": 19.7258,
|
5 |
+
"eval_samples_per_second": 286.174,
|
6 |
+
"eval_steps_per_second": 1.166,
|
7 |
+
"total_flos": 2.974665019736929e+19,
|
8 |
+
"train_loss": 0.4202925201446291,
|
9 |
+
"train_runtime": 4897.225,
|
10 |
+
"train_samples_per_second": 65.701,
|
11 |
+
"train_steps_per_second": 0.129
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 0.39452776312828064,
|
4 |
+
"eval_runtime": 19.7258,
|
5 |
+
"eval_samples_per_second": 286.174,
|
6 |
+
"eval_steps_per_second": 1.166
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 2.974665019736929e+19,
|
4 |
+
"train_loss": 0.4202925201446291,
|
5 |
+
"train_runtime": 4897.225,
|
6 |
+
"train_samples_per_second": 65.701,
|
7 |
+
"train_steps_per_second": 0.129
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,507 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 630,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.047619047619047616,
|
13 |
+
"grad_norm": 7.00799036026001,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.7468,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09523809523809523,
|
20 |
+
"grad_norm": 1.285407304763794,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.6158,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14285714285714285,
|
27 |
+
"grad_norm": 0.8182913064956665,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.5772,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.19047619047619047,
|
34 |
+
"grad_norm": 0.6624349355697632,
|
35 |
+
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.5461,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.23809523809523808,
|
41 |
+
"grad_norm": 0.7397964000701904,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.5253,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2857142857142857,
|
48 |
+
"grad_norm": 0.7653570175170898,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.5156,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.3333333333333333,
|
55 |
+
"grad_norm": 0.9847812056541443,
|
56 |
+
"learning_rate": 5e-06,
|
57 |
+
"loss": 0.5027,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.38095238095238093,
|
62 |
+
"grad_norm": 0.8112488985061646,
|
63 |
+
"learning_rate": 5e-06,
|
64 |
+
"loss": 0.4895,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.42857142857142855,
|
69 |
+
"grad_norm": 0.6271055340766907,
|
70 |
+
"learning_rate": 5e-06,
|
71 |
+
"loss": 0.4844,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.47619047619047616,
|
76 |
+
"grad_norm": 0.663528323173523,
|
77 |
+
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.483,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5238095238095238,
|
83 |
+
"grad_norm": 0.7267521619796753,
|
84 |
+
"learning_rate": 5e-06,
|
85 |
+
"loss": 0.4755,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5714285714285714,
|
90 |
+
"grad_norm": 0.5810205340385437,
|
91 |
+
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.4671,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.6190476190476191,
|
97 |
+
"grad_norm": 0.5360288023948669,
|
98 |
+
"learning_rate": 5e-06,
|
99 |
+
"loss": 0.4638,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6666666666666666,
|
104 |
+
"grad_norm": 0.5612106919288635,
|
105 |
+
"learning_rate": 5e-06,
|
106 |
+
"loss": 0.4679,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7142857142857143,
|
111 |
+
"grad_norm": 0.5730308294296265,
|
112 |
+
"learning_rate": 5e-06,
|
113 |
+
"loss": 0.4616,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7619047619047619,
|
118 |
+
"grad_norm": 0.572811484336853,
|
119 |
+
"learning_rate": 5e-06,
|
120 |
+
"loss": 0.463,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.8095238095238095,
|
125 |
+
"grad_norm": 0.5675049424171448,
|
126 |
+
"learning_rate": 5e-06,
|
127 |
+
"loss": 0.4559,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8571428571428571,
|
132 |
+
"grad_norm": 0.4868006706237793,
|
133 |
+
"learning_rate": 5e-06,
|
134 |
+
"loss": 0.4495,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.9047619047619048,
|
139 |
+
"grad_norm": 0.7108432054519653,
|
140 |
+
"learning_rate": 5e-06,
|
141 |
+
"loss": 0.4482,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9523809523809523,
|
146 |
+
"grad_norm": 0.6518502831459045,
|
147 |
+
"learning_rate": 5e-06,
|
148 |
+
"loss": 0.4458,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.0,
|
153 |
+
"grad_norm": 0.5819401741027832,
|
154 |
+
"learning_rate": 5e-06,
|
155 |
+
"loss": 0.4424,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.0,
|
160 |
+
"eval_loss": 0.44027426838874817,
|
161 |
+
"eval_runtime": 19.8032,
|
162 |
+
"eval_samples_per_second": 285.054,
|
163 |
+
"eval_steps_per_second": 1.161,
|
164 |
+
"step": 210
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.0476190476190477,
|
168 |
+
"grad_norm": 0.7236601710319519,
|
169 |
+
"learning_rate": 5e-06,
|
170 |
+
"loss": 0.4177,
|
171 |
+
"step": 220
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.0952380952380953,
|
175 |
+
"grad_norm": 0.8007149696350098,
|
176 |
+
"learning_rate": 5e-06,
|
177 |
+
"loss": 0.4166,
|
178 |
+
"step": 230
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 1.1428571428571428,
|
182 |
+
"grad_norm": 0.4822133779525757,
|
183 |
+
"learning_rate": 5e-06,
|
184 |
+
"loss": 0.4146,
|
185 |
+
"step": 240
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.1904761904761905,
|
189 |
+
"grad_norm": 0.5171831846237183,
|
190 |
+
"learning_rate": 5e-06,
|
191 |
+
"loss": 0.41,
|
192 |
+
"step": 250
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.2380952380952381,
|
196 |
+
"grad_norm": 0.4575100243091583,
|
197 |
+
"learning_rate": 5e-06,
|
198 |
+
"loss": 0.4092,
|
199 |
+
"step": 260
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 1.2857142857142856,
|
203 |
+
"grad_norm": 0.5583874583244324,
|
204 |
+
"learning_rate": 5e-06,
|
205 |
+
"loss": 0.4117,
|
206 |
+
"step": 270
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.3333333333333333,
|
210 |
+
"grad_norm": 0.5191620588302612,
|
211 |
+
"learning_rate": 5e-06,
|
212 |
+
"loss": 0.4088,
|
213 |
+
"step": 280
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 1.380952380952381,
|
217 |
+
"grad_norm": 0.4884379804134369,
|
218 |
+
"learning_rate": 5e-06,
|
219 |
+
"loss": 0.401,
|
220 |
+
"step": 290
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 1.4285714285714286,
|
224 |
+
"grad_norm": 0.607741117477417,
|
225 |
+
"learning_rate": 5e-06,
|
226 |
+
"loss": 0.4018,
|
227 |
+
"step": 300
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.4761904761904763,
|
231 |
+
"grad_norm": 0.569879412651062,
|
232 |
+
"learning_rate": 5e-06,
|
233 |
+
"loss": 0.4043,
|
234 |
+
"step": 310
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.5238095238095237,
|
238 |
+
"grad_norm": 0.5138094425201416,
|
239 |
+
"learning_rate": 5e-06,
|
240 |
+
"loss": 0.4048,
|
241 |
+
"step": 320
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.5714285714285714,
|
245 |
+
"grad_norm": 0.5052298307418823,
|
246 |
+
"learning_rate": 5e-06,
|
247 |
+
"loss": 0.4025,
|
248 |
+
"step": 330
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.619047619047619,
|
252 |
+
"grad_norm": 0.5724121928215027,
|
253 |
+
"learning_rate": 5e-06,
|
254 |
+
"loss": 0.3983,
|
255 |
+
"step": 340
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 1.6666666666666665,
|
259 |
+
"grad_norm": 0.48763513565063477,
|
260 |
+
"learning_rate": 5e-06,
|
261 |
+
"loss": 0.398,
|
262 |
+
"step": 350
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 1.7142857142857144,
|
266 |
+
"grad_norm": 0.4854251742362976,
|
267 |
+
"learning_rate": 5e-06,
|
268 |
+
"loss": 0.3966,
|
269 |
+
"step": 360
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.7619047619047619,
|
273 |
+
"grad_norm": 0.5348525643348694,
|
274 |
+
"learning_rate": 5e-06,
|
275 |
+
"loss": 0.3966,
|
276 |
+
"step": 370
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.8095238095238095,
|
280 |
+
"grad_norm": 0.49323537945747375,
|
281 |
+
"learning_rate": 5e-06,
|
282 |
+
"loss": 0.3991,
|
283 |
+
"step": 380
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 1.8571428571428572,
|
287 |
+
"grad_norm": 0.6086412072181702,
|
288 |
+
"learning_rate": 5e-06,
|
289 |
+
"loss": 0.3923,
|
290 |
+
"step": 390
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.9047619047619047,
|
294 |
+
"grad_norm": 0.6246663928031921,
|
295 |
+
"learning_rate": 5e-06,
|
296 |
+
"loss": 0.3927,
|
297 |
+
"step": 400
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.9523809523809523,
|
301 |
+
"grad_norm": 0.5039796233177185,
|
302 |
+
"learning_rate": 5e-06,
|
303 |
+
"loss": 0.3899,
|
304 |
+
"step": 410
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 2.0,
|
308 |
+
"grad_norm": 0.529189944267273,
|
309 |
+
"learning_rate": 5e-06,
|
310 |
+
"loss": 0.3876,
|
311 |
+
"step": 420
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 2.0,
|
315 |
+
"eval_loss": 0.40606528520584106,
|
316 |
+
"eval_runtime": 19.4128,
|
317 |
+
"eval_samples_per_second": 290.787,
|
318 |
+
"eval_steps_per_second": 1.185,
|
319 |
+
"step": 420
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 2.0476190476190474,
|
323 |
+
"grad_norm": 0.5458488464355469,
|
324 |
+
"learning_rate": 5e-06,
|
325 |
+
"loss": 0.3631,
|
326 |
+
"step": 430
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.0952380952380953,
|
330 |
+
"grad_norm": 0.6534059047698975,
|
331 |
+
"learning_rate": 5e-06,
|
332 |
+
"loss": 0.361,
|
333 |
+
"step": 440
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 2.142857142857143,
|
337 |
+
"grad_norm": 0.4458000659942627,
|
338 |
+
"learning_rate": 5e-06,
|
339 |
+
"loss": 0.3585,
|
340 |
+
"step": 450
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 2.1904761904761907,
|
344 |
+
"grad_norm": 0.5679864883422852,
|
345 |
+
"learning_rate": 5e-06,
|
346 |
+
"loss": 0.3595,
|
347 |
+
"step": 460
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 2.238095238095238,
|
351 |
+
"grad_norm": 0.5616896748542786,
|
352 |
+
"learning_rate": 5e-06,
|
353 |
+
"loss": 0.3583,
|
354 |
+
"step": 470
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.2857142857142856,
|
358 |
+
"grad_norm": 0.6424217224121094,
|
359 |
+
"learning_rate": 5e-06,
|
360 |
+
"loss": 0.3555,
|
361 |
+
"step": 480
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.3333333333333335,
|
365 |
+
"grad_norm": 0.5360146760940552,
|
366 |
+
"learning_rate": 5e-06,
|
367 |
+
"loss": 0.359,
|
368 |
+
"step": 490
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.380952380952381,
|
372 |
+
"grad_norm": 0.6328884363174438,
|
373 |
+
"learning_rate": 5e-06,
|
374 |
+
"loss": 0.3603,
|
375 |
+
"step": 500
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.4285714285714284,
|
379 |
+
"grad_norm": 0.9802494645118713,
|
380 |
+
"learning_rate": 5e-06,
|
381 |
+
"loss": 0.3536,
|
382 |
+
"step": 510
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 2.4761904761904763,
|
386 |
+
"grad_norm": 0.4570349454879761,
|
387 |
+
"learning_rate": 5e-06,
|
388 |
+
"loss": 0.3583,
|
389 |
+
"step": 520
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.5238095238095237,
|
393 |
+
"grad_norm": 0.511833131313324,
|
394 |
+
"learning_rate": 5e-06,
|
395 |
+
"loss": 0.3592,
|
396 |
+
"step": 530
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 2.571428571428571,
|
400 |
+
"grad_norm": 0.42418205738067627,
|
401 |
+
"learning_rate": 5e-06,
|
402 |
+
"loss": 0.3563,
|
403 |
+
"step": 540
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 2.619047619047619,
|
407 |
+
"grad_norm": 0.4819291830062866,
|
408 |
+
"learning_rate": 5e-06,
|
409 |
+
"loss": 0.3549,
|
410 |
+
"step": 550
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.6666666666666665,
|
414 |
+
"grad_norm": 0.5982061624526978,
|
415 |
+
"learning_rate": 5e-06,
|
416 |
+
"loss": 0.3558,
|
417 |
+
"step": 560
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.7142857142857144,
|
421 |
+
"grad_norm": 0.5459383726119995,
|
422 |
+
"learning_rate": 5e-06,
|
423 |
+
"loss": 0.3584,
|
424 |
+
"step": 570
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 2.761904761904762,
|
428 |
+
"grad_norm": 0.5276683568954468,
|
429 |
+
"learning_rate": 5e-06,
|
430 |
+
"loss": 0.3547,
|
431 |
+
"step": 580
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 2.8095238095238093,
|
435 |
+
"grad_norm": 0.5420525074005127,
|
436 |
+
"learning_rate": 5e-06,
|
437 |
+
"loss": 0.3581,
|
438 |
+
"step": 590
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 2.857142857142857,
|
442 |
+
"grad_norm": 0.5689032673835754,
|
443 |
+
"learning_rate": 5e-06,
|
444 |
+
"loss": 0.3521,
|
445 |
+
"step": 600
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 2.9047619047619047,
|
449 |
+
"grad_norm": 0.5105318427085876,
|
450 |
+
"learning_rate": 5e-06,
|
451 |
+
"loss": 0.353,
|
452 |
+
"step": 610
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 2.9523809523809526,
|
456 |
+
"grad_norm": 0.4855678081512451,
|
457 |
+
"learning_rate": 5e-06,
|
458 |
+
"loss": 0.3546,
|
459 |
+
"step": 620
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 3.0,
|
463 |
+
"grad_norm": 0.601311445236206,
|
464 |
+
"learning_rate": 5e-06,
|
465 |
+
"loss": 0.3529,
|
466 |
+
"step": 630
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 3.0,
|
470 |
+
"eval_loss": 0.39452776312828064,
|
471 |
+
"eval_runtime": 19.9215,
|
472 |
+
"eval_samples_per_second": 283.362,
|
473 |
+
"eval_steps_per_second": 1.155,
|
474 |
+
"step": 630
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 3.0,
|
478 |
+
"step": 630,
|
479 |
+
"total_flos": 2.974665019736929e+19,
|
480 |
+
"train_loss": 0.4202925201446291,
|
481 |
+
"train_runtime": 4897.225,
|
482 |
+
"train_samples_per_second": 65.701,
|
483 |
+
"train_steps_per_second": 0.129
|
484 |
+
}
|
485 |
+
],
|
486 |
+
"logging_steps": 10,
|
487 |
+
"max_steps": 630,
|
488 |
+
"num_input_tokens_seen": 0,
|
489 |
+
"num_train_epochs": 3,
|
490 |
+
"save_steps": 500,
|
491 |
+
"stateful_callbacks": {
|
492 |
+
"TrainerControl": {
|
493 |
+
"args": {
|
494 |
+
"should_epoch_stop": false,
|
495 |
+
"should_evaluate": false,
|
496 |
+
"should_log": false,
|
497 |
+
"should_save": true,
|
498 |
+
"should_training_stop": true
|
499 |
+
},
|
500 |
+
"attributes": {}
|
501 |
+
}
|
502 |
+
},
|
503 |
+
"total_flos": 2.974665019736929e+19,
|
504 |
+
"train_batch_size": 16,
|
505 |
+
"trial_name": null,
|
506 |
+
"trial_params": null
|
507 |
+
}
|
training_eval_loss.png
ADDED
training_loss.png
ADDED