Training in progress, step 900, checkpoint
Browse files- checkpoint-900/adapter_model.bin +1 -1
- checkpoint-900/optimizer.pt +1 -1
- checkpoint-900/rng_state.pth +1 -1
- checkpoint-900/scheduler.pt +1 -1
- checkpoint-900/trainer_state.json +170 -170
- checkpoint-900/training_args.bin +1 -1
checkpoint-900/adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 9873829
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cbee206c9534fa0931670d8cef8d33ebd76d9604852f7218d087574e8055be36
|
3 |
size 9873829
|
checkpoint-900/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 42788
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d3fad48a5e1760a1638cf59a1a76153b024639584240d8fdf17d56ee2901887
|
3 |
size 42788
|
checkpoint-900/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:511b15f3cd91ceff165b54aded56a26d3186f424d55b860dc90417196a6715dc
|
3 |
size 14244
|
checkpoint-900/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be9e3bb11dd63005c70ebd29a6624732812907b6da43a7c2c370f5319308fa90
|
3 |
size 1064
|
checkpoint-900/trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "output/checkpoint-
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 50,
|
6 |
"global_step": 900,
|
7 |
"is_hyper_param_search": false,
|
@@ -10,286 +10,286 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
-
"learning_rate": 1.
|
14 |
-
"loss": 0.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
-
"epoch": 0.
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 0.
|
21 |
"step": 50
|
22 |
},
|
23 |
{
|
24 |
-
"epoch": 0.
|
25 |
-
"eval_accuracy": 0.
|
26 |
-
"eval_loss": 0.
|
27 |
-
"eval_runtime":
|
28 |
-
"eval_samples_per_second":
|
29 |
-
"eval_steps_per_second": 1.
|
30 |
"step": 50
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"learning_rate": 0.
|
35 |
-
"loss": 0.
|
36 |
"step": 100
|
37 |
},
|
38 |
{
|
39 |
-
"epoch": 0.
|
40 |
-
"eval_accuracy": 0.
|
41 |
-
"eval_loss": 0.
|
42 |
-
"eval_runtime":
|
43 |
-
"eval_samples_per_second":
|
44 |
-
"eval_steps_per_second": 1.
|
45 |
"step": 100
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 0.
|
49 |
-
"learning_rate": 0.
|
50 |
-
"loss": 0.
|
51 |
"step": 150
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"eval_accuracy": 0.
|
56 |
-
"eval_loss": 0.
|
57 |
-
"eval_runtime":
|
58 |
-
"eval_samples_per_second":
|
59 |
-
"eval_steps_per_second": 1.
|
60 |
"step": 150
|
61 |
},
|
62 |
{
|
63 |
-
"epoch": 0.
|
64 |
-
"learning_rate": 0.
|
65 |
-
"loss": 0.
|
66 |
"step": 200
|
67 |
},
|
68 |
{
|
69 |
-
"epoch": 0.
|
70 |
-
"eval_accuracy": 0.
|
71 |
-
"eval_loss": 0.
|
72 |
-
"eval_runtime":
|
73 |
-
"eval_samples_per_second":
|
74 |
-
"eval_steps_per_second": 1.
|
75 |
"step": 200
|
76 |
},
|
77 |
{
|
78 |
-
"epoch": 0.
|
79 |
-
"learning_rate": 0.
|
80 |
-
"loss": 0.
|
81 |
"step": 250
|
82 |
},
|
83 |
{
|
84 |
-
"epoch": 0.
|
85 |
-
"eval_accuracy": 0.
|
86 |
-
"eval_loss": 0.
|
87 |
-
"eval_runtime":
|
88 |
-
"eval_samples_per_second":
|
89 |
-
"eval_steps_per_second": 1.
|
90 |
"step": 250
|
91 |
},
|
92 |
{
|
93 |
-
"epoch": 0.
|
94 |
-
"learning_rate": 0.
|
95 |
-
"loss": 0.
|
96 |
"step": 300
|
97 |
},
|
98 |
{
|
99 |
-
"epoch": 0.
|
100 |
-
"eval_accuracy": 0.
|
101 |
-
"eval_loss": 0.
|
102 |
-
"eval_runtime":
|
103 |
-
"eval_samples_per_second":
|
104 |
-
"eval_steps_per_second": 1.
|
105 |
"step": 300
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
-
"learning_rate": 0.
|
110 |
-
"loss": 0.
|
111 |
"step": 350
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
-
"eval_accuracy": 0.
|
116 |
-
"eval_loss": 0.
|
117 |
-
"eval_runtime":
|
118 |
-
"eval_samples_per_second":
|
119 |
-
"eval_steps_per_second": 1.
|
120 |
"step": 350
|
121 |
},
|
122 |
{
|
123 |
-
"epoch": 0.
|
124 |
-
"learning_rate": 0.
|
125 |
-
"loss": 0.
|
126 |
"step": 400
|
127 |
},
|
128 |
{
|
129 |
-
"epoch": 0.
|
130 |
-
"eval_accuracy": 0.
|
131 |
-
"eval_loss": 0.
|
132 |
-
"eval_runtime":
|
133 |
-
"eval_samples_per_second":
|
134 |
-
"eval_steps_per_second": 1.
|
135 |
"step": 400
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"learning_rate": 0.
|
140 |
-
"loss": 0.
|
141 |
"step": 450
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 0.
|
145 |
-
"eval_accuracy": 0.
|
146 |
-
"eval_loss": 0.
|
147 |
-
"eval_runtime":
|
148 |
-
"eval_samples_per_second":
|
149 |
-
"eval_steps_per_second": 1.
|
150 |
"step": 450
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 0.
|
154 |
-
"learning_rate": 0.
|
155 |
-
"loss": 0.
|
156 |
"step": 500
|
157 |
},
|
158 |
{
|
159 |
-
"epoch": 0.
|
160 |
-
"eval_accuracy": 0.
|
161 |
-
"eval_loss": 0.
|
162 |
-
"eval_runtime":
|
163 |
-
"eval_samples_per_second":
|
164 |
-
"eval_steps_per_second": 1.
|
165 |
"step": 500
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0.
|
169 |
-
"learning_rate": 0.
|
170 |
-
"loss": 0.
|
171 |
"step": 550
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 0.
|
175 |
-
"eval_accuracy": 0.
|
176 |
-
"eval_loss": 0.
|
177 |
-
"eval_runtime":
|
178 |
-
"eval_samples_per_second":
|
179 |
-
"eval_steps_per_second": 1.
|
180 |
"step": 550
|
181 |
},
|
182 |
{
|
183 |
-
"epoch": 0.
|
184 |
-
"learning_rate": 0.
|
185 |
-
"loss": 0.
|
186 |
"step": 600
|
187 |
},
|
188 |
{
|
189 |
-
"epoch": 0.
|
190 |
-
"eval_accuracy": 0.
|
191 |
-
"eval_loss": 0.
|
192 |
-
"eval_runtime":
|
193 |
-
"eval_samples_per_second":
|
194 |
-
"eval_steps_per_second": 1.
|
195 |
"step": 600
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
-
"learning_rate": 0.
|
200 |
-
"loss": 0.
|
201 |
"step": 650
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 0.
|
205 |
-
"eval_accuracy": 0.
|
206 |
-
"eval_loss": 0.
|
207 |
-
"eval_runtime":
|
208 |
-
"eval_samples_per_second":
|
209 |
-
"eval_steps_per_second": 1.
|
210 |
"step": 650
|
211 |
},
|
212 |
{
|
213 |
-
"epoch": 0.
|
214 |
-
"learning_rate": 0.
|
215 |
-
"loss": 0.
|
216 |
"step": 700
|
217 |
},
|
218 |
{
|
219 |
-
"epoch": 0.
|
220 |
-
"eval_accuracy": 0.
|
221 |
-
"eval_loss": 0.
|
222 |
-
"eval_runtime":
|
223 |
-
"eval_samples_per_second":
|
224 |
-
"eval_steps_per_second": 1.
|
225 |
"step": 700
|
226 |
},
|
227 |
{
|
228 |
-
"epoch": 0.
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 0.
|
231 |
"step": 750
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 0.
|
235 |
-
"eval_accuracy": 0.
|
236 |
-
"eval_loss": 0.
|
237 |
-
"eval_runtime":
|
238 |
-
"eval_samples_per_second":
|
239 |
-
"eval_steps_per_second": 1.
|
240 |
"step": 750
|
241 |
},
|
242 |
{
|
243 |
-
"epoch": 0.
|
244 |
-
"learning_rate":
|
245 |
-
"loss": 0.
|
246 |
"step": 800
|
247 |
},
|
248 |
{
|
249 |
-
"epoch": 0.
|
250 |
-
"eval_accuracy": 0.
|
251 |
-
"eval_loss": 0.
|
252 |
-
"eval_runtime":
|
253 |
-
"eval_samples_per_second":
|
254 |
-
"eval_steps_per_second": 1.
|
255 |
"step": 800
|
256 |
},
|
257 |
{
|
258 |
-
"epoch": 0.
|
259 |
-
"learning_rate":
|
260 |
-
"loss": 0.
|
261 |
"step": 850
|
262 |
},
|
263 |
{
|
264 |
-
"epoch": 0.
|
265 |
-
"eval_accuracy": 0.
|
266 |
-
"eval_loss": 0.
|
267 |
-
"eval_runtime":
|
268 |
-
"eval_samples_per_second":
|
269 |
-
"eval_steps_per_second": 1.
|
270 |
"step": 850
|
271 |
},
|
272 |
{
|
273 |
-
"epoch": 0.
|
274 |
-
"learning_rate":
|
275 |
-
"loss": 0.
|
276 |
"step": 900
|
277 |
},
|
278 |
{
|
279 |
-
"epoch": 0.
|
280 |
-
"eval_accuracy": 0.
|
281 |
-
"eval_loss": 0.
|
282 |
-
"eval_runtime":
|
283 |
-
"eval_samples_per_second":
|
284 |
-
"eval_steps_per_second": 1.
|
285 |
"step": 900
|
286 |
}
|
287 |
],
|
288 |
"logging_steps": 50,
|
289 |
-
"max_steps":
|
290 |
-
"num_train_epochs":
|
291 |
"save_steps": 100,
|
292 |
-
"total_flos":
|
293 |
"trial_name": null,
|
294 |
"trial_params": null
|
295 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.6392325758934021,
|
3 |
+
"best_model_checkpoint": "output/checkpoint-700",
|
4 |
+
"epoch": 0.7219492630101273,
|
5 |
"eval_steps": 50,
|
6 |
"global_step": 900,
|
7 |
"is_hyper_param_search": false,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 1.3333333333333332e-06,
|
14 |
+
"loss": 0.785,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 5.9999999999999995e-05,
|
20 |
+
"loss": 0.6547,
|
21 |
"step": 50
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.6626865671641791,
|
26 |
+
"eval_loss": 0.8300915956497192,
|
27 |
+
"eval_runtime": 61.5689,
|
28 |
+
"eval_samples_per_second": 5.441,
|
29 |
+
"eval_steps_per_second": 1.364,
|
30 |
"step": 50
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 0.00012666666666666666,
|
35 |
+
"loss": 0.6654,
|
36 |
"step": 100
|
37 |
},
|
38 |
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.6895522388059702,
|
41 |
+
"eval_loss": 0.6663276553153992,
|
42 |
+
"eval_runtime": 56.4633,
|
43 |
+
"eval_samples_per_second": 5.933,
|
44 |
+
"eval_steps_per_second": 1.488,
|
45 |
"step": 100
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 0.00019333333333333333,
|
50 |
+
"loss": 0.6491,
|
51 |
"step": 150
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.6537313432835821,
|
56 |
+
"eval_loss": 0.9172552824020386,
|
57 |
+
"eval_runtime": 56.4705,
|
58 |
+
"eval_samples_per_second": 5.932,
|
59 |
+
"eval_steps_per_second": 1.488,
|
60 |
"step": 150
|
61 |
},
|
62 |
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 0.00026,
|
65 |
+
"loss": 0.641,
|
66 |
"step": 200
|
67 |
},
|
68 |
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.6865671641791045,
|
71 |
+
"eval_loss": 0.6528732180595398,
|
72 |
+
"eval_runtime": 56.4485,
|
73 |
+
"eval_samples_per_second": 5.935,
|
74 |
+
"eval_steps_per_second": 1.488,
|
75 |
"step": 200
|
76 |
},
|
77 |
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 0.0002941234084231146,
|
80 |
+
"loss": 0.6521,
|
81 |
"step": 250
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.6835820895522388,
|
86 |
+
"eval_loss": 0.8197052478790283,
|
87 |
+
"eval_runtime": 56.4577,
|
88 |
+
"eval_samples_per_second": 5.934,
|
89 |
+
"eval_steps_per_second": 1.488,
|
90 |
"step": 250
|
91 |
},
|
92 |
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 0.00027943192948090106,
|
95 |
+
"loss": 0.638,
|
96 |
"step": 300
|
97 |
},
|
98 |
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.6835820895522388,
|
101 |
+
"eval_loss": 0.6961421370506287,
|
102 |
+
"eval_runtime": 56.4506,
|
103 |
+
"eval_samples_per_second": 5.934,
|
104 |
+
"eval_steps_per_second": 1.488,
|
105 |
"step": 300
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.28,
|
109 |
+
"learning_rate": 0.00026474045053868754,
|
110 |
+
"loss": 0.6857,
|
111 |
"step": 350
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 0.28,
|
115 |
+
"eval_accuracy": 0.6835820895522388,
|
116 |
+
"eval_loss": 0.7876304388046265,
|
117 |
+
"eval_runtime": 56.4651,
|
118 |
+
"eval_samples_per_second": 5.933,
|
119 |
+
"eval_steps_per_second": 1.488,
|
120 |
"step": 350
|
121 |
},
|
122 |
{
|
123 |
+
"epoch": 0.32,
|
124 |
+
"learning_rate": 0.000250048971596474,
|
125 |
+
"loss": 0.6469,
|
126 |
"step": 400
|
127 |
},
|
128 |
{
|
129 |
+
"epoch": 0.32,
|
130 |
+
"eval_accuracy": 0.6626865671641791,
|
131 |
+
"eval_loss": 0.7487305402755737,
|
132 |
+
"eval_runtime": 56.4489,
|
133 |
+
"eval_samples_per_second": 5.935,
|
134 |
+
"eval_steps_per_second": 1.488,
|
135 |
"step": 400
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.36,
|
139 |
+
"learning_rate": 0.00023535749265426052,
|
140 |
+
"loss": 0.6813,
|
141 |
"step": 450
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 0.36,
|
145 |
+
"eval_accuracy": 0.6626865671641791,
|
146 |
+
"eval_loss": 0.8447557091712952,
|
147 |
+
"eval_runtime": 56.4428,
|
148 |
+
"eval_samples_per_second": 5.935,
|
149 |
+
"eval_steps_per_second": 1.488,
|
150 |
"step": 450
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 0.4,
|
154 |
+
"learning_rate": 0.000220666013712047,
|
155 |
+
"loss": 0.645,
|
156 |
"step": 500
|
157 |
},
|
158 |
{
|
159 |
+
"epoch": 0.4,
|
160 |
+
"eval_accuracy": 0.6835820895522388,
|
161 |
+
"eval_loss": 0.6624641418457031,
|
162 |
+
"eval_runtime": 56.4531,
|
163 |
+
"eval_samples_per_second": 5.934,
|
164 |
+
"eval_steps_per_second": 1.488,
|
165 |
"step": 500
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 0.44,
|
169 |
+
"learning_rate": 0.0002059745347698335,
|
170 |
+
"loss": 0.7044,
|
171 |
"step": 550
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 0.44,
|
175 |
+
"eval_accuracy": 0.7014925373134329,
|
176 |
+
"eval_loss": 0.63779217004776,
|
177 |
+
"eval_runtime": 56.4382,
|
178 |
+
"eval_samples_per_second": 5.936,
|
179 |
+
"eval_steps_per_second": 1.488,
|
180 |
"step": 550
|
181 |
},
|
182 |
{
|
183 |
+
"epoch": 0.48,
|
184 |
+
"learning_rate": 0.00019128305582761997,
|
185 |
+
"loss": 0.6399,
|
186 |
"step": 600
|
187 |
},
|
188 |
{
|
189 |
+
"epoch": 0.48,
|
190 |
+
"eval_accuracy": 0.6716417910447762,
|
191 |
+
"eval_loss": 0.7784742712974548,
|
192 |
+
"eval_runtime": 56.4356,
|
193 |
+
"eval_samples_per_second": 5.936,
|
194 |
+
"eval_steps_per_second": 1.488,
|
195 |
"step": 600
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 0.52,
|
199 |
+
"learning_rate": 0.00017659157688540645,
|
200 |
+
"loss": 0.6039,
|
201 |
"step": 650
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 0.52,
|
205 |
+
"eval_accuracy": 0.6985074626865672,
|
206 |
+
"eval_loss": 0.665508508682251,
|
207 |
+
"eval_runtime": 56.4424,
|
208 |
+
"eval_samples_per_second": 5.935,
|
209 |
+
"eval_steps_per_second": 1.488,
|
210 |
"step": 650
|
211 |
},
|
212 |
{
|
213 |
+
"epoch": 0.56,
|
214 |
+
"learning_rate": 0.00016190009794319292,
|
215 |
+
"loss": 0.6321,
|
216 |
"step": 700
|
217 |
},
|
218 |
{
|
219 |
+
"epoch": 0.56,
|
220 |
+
"eval_accuracy": 0.6716417910447762,
|
221 |
+
"eval_loss": 0.6392325758934021,
|
222 |
+
"eval_runtime": 56.437,
|
223 |
+
"eval_samples_per_second": 5.936,
|
224 |
+
"eval_steps_per_second": 1.488,
|
225 |
"step": 700
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 0.6,
|
229 |
+
"learning_rate": 0.00014720861900097942,
|
230 |
+
"loss": 0.6448,
|
231 |
"step": 750
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 0.6,
|
235 |
+
"eval_accuracy": 0.6686567164179105,
|
236 |
+
"eval_loss": 0.7872520089149475,
|
237 |
+
"eval_runtime": 56.4423,
|
238 |
+
"eval_samples_per_second": 5.935,
|
239 |
+
"eval_steps_per_second": 1.488,
|
240 |
"step": 750
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 0.64,
|
244 |
+
"learning_rate": 0.0001325171400587659,
|
245 |
+
"loss": 0.6033,
|
246 |
"step": 800
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 0.64,
|
250 |
+
"eval_accuracy": 0.6895522388059702,
|
251 |
+
"eval_loss": 0.723906934261322,
|
252 |
+
"eval_runtime": 56.4576,
|
253 |
+
"eval_samples_per_second": 5.934,
|
254 |
+
"eval_steps_per_second": 1.488,
|
255 |
"step": 800
|
256 |
},
|
257 |
{
|
258 |
+
"epoch": 0.68,
|
259 |
+
"learning_rate": 0.00011782566111655239,
|
260 |
+
"loss": 0.6174,
|
261 |
"step": 850
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.68,
|
265 |
+
"eval_accuracy": 0.6925373134328359,
|
266 |
+
"eval_loss": 0.6893543601036072,
|
267 |
+
"eval_runtime": 56.4403,
|
268 |
+
"eval_samples_per_second": 5.935,
|
269 |
+
"eval_steps_per_second": 1.488,
|
270 |
"step": 850
|
271 |
},
|
272 |
{
|
273 |
+
"epoch": 0.72,
|
274 |
+
"learning_rate": 0.00010313418217433888,
|
275 |
+
"loss": 0.5859,
|
276 |
"step": 900
|
277 |
},
|
278 |
{
|
279 |
+
"epoch": 0.72,
|
280 |
+
"eval_accuracy": 0.6746268656716418,
|
281 |
+
"eval_loss": 0.6730663776397705,
|
282 |
+
"eval_runtime": 56.4424,
|
283 |
+
"eval_samples_per_second": 5.935,
|
284 |
+
"eval_steps_per_second": 1.488,
|
285 |
"step": 900
|
286 |
}
|
287 |
],
|
288 |
"logging_steps": 50,
|
289 |
+
"max_steps": 1246,
|
290 |
+
"num_train_epochs": 1,
|
291 |
"save_steps": 100,
|
292 |
+
"total_flos": 3.373406256458957e+17,
|
293 |
"trial_name": null,
|
294 |
"trial_params": null
|
295 |
}
|
checkpoint-900/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4472
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e32e120c6d65576e6fe76fdf63d907877e27469586cc746d8cd6a71d07635ea9
|
3 |
size 4472
|