End of training
Browse files- README.md +14 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +539 -0
README.md
CHANGED
@@ -2,11 +2,23 @@
|
|
2 |
library_name: transformers
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
5 |
metrics:
|
6 |
- accuracy
|
7 |
model-index:
|
8 |
- name: opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
|
9 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -14,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
|
16 |
|
17 |
-
This model was trained from scratch on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 2.6849
|
20 |
- Accuracy: 0.4784
|
|
|
2 |
library_name: transformers
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
+
datasets:
|
6 |
+
- kanishka/babylm2-rewritten-clean-spacy_random-removal-num-adj
|
7 |
metrics:
|
8 |
- accuracy
|
9 |
model-index:
|
10 |
- name: opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
|
11 |
+
results:
|
12 |
+
- task:
|
13 |
+
name: Causal Language Modeling
|
14 |
+
type: text-generation
|
15 |
+
dataset:
|
16 |
+
name: kanishka/babylm2-rewritten-clean-spacy_random-removal-num-adj
|
17 |
+
type: kanishka/babylm2-rewritten-clean-spacy_random-removal-num-adj
|
18 |
+
metrics:
|
19 |
+
- name: Accuracy
|
20 |
+
type: accuracy
|
21 |
+
value: 0.4783791090856058
|
22 |
---
|
23 |
|
24 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
26 |
|
27 |
# opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
|
28 |
|
29 |
+
This model was trained from scratch on the kanishka/babylm2-rewritten-clean-spacy_random-removal-num-adj dataset.
|
30 |
It achieves the following results on the evaluation set:
|
31 |
- Loss: 2.6849
|
32 |
- Accuracy: 0.4784
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.99972118440863,
|
3 |
+
"eval_accuracy": 0.4783791090856058,
|
4 |
+
"eval_loss": 2.6849253177642822,
|
5 |
+
"eval_runtime": 69.2896,
|
6 |
+
"eval_samples": 60703,
|
7 |
+
"eval_samples_per_second": 876.077,
|
8 |
+
"eval_steps_per_second": 13.696,
|
9 |
+
"perplexity": 14.657106713888599,
|
10 |
+
"total_flos": 1.499260234235904e+18,
|
11 |
+
"train_loss": 2.807752750367791,
|
12 |
+
"train_runtime": 29691.1283,
|
13 |
+
"train_samples": 573827,
|
14 |
+
"train_samples_per_second": 386.531,
|
15 |
+
"train_steps_per_second": 1.51
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.99972118440863,
|
3 |
+
"eval_accuracy": 0.4783791090856058,
|
4 |
+
"eval_loss": 2.6849253177642822,
|
5 |
+
"eval_runtime": 69.2896,
|
6 |
+
"eval_samples": 60703,
|
7 |
+
"eval_samples_per_second": 876.077,
|
8 |
+
"eval_steps_per_second": 13.696,
|
9 |
+
"perplexity": 14.657106713888599
|
10 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.99972118440863,
|
3 |
+
"total_flos": 1.499260234235904e+18,
|
4 |
+
"train_loss": 2.807752750367791,
|
5 |
+
"train_runtime": 29691.1283,
|
6 |
+
"train_samples": 573827,
|
7 |
+
"train_samples_per_second": 386.531,
|
8 |
+
"train_steps_per_second": 1.51
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,539 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.6849253177642822,
|
3 |
+
"best_model_checkpoint": "models/opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3/checkpoint-44820",
|
4 |
+
"epoch": 19.99972118440863,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 44820,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.44610494618859087,
|
13 |
+
"grad_norm": 0.5416804552078247,
|
14 |
+
"learning_rate": 3.125e-05,
|
15 |
+
"loss": 5.5826,
|
16 |
+
"step": 1000
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.8922098923771817,
|
20 |
+
"grad_norm": 0.6205823421478271,
|
21 |
+
"learning_rate": 6.25e-05,
|
22 |
+
"loss": 4.0965,
|
23 |
+
"step": 2000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.9997211844086321,
|
27 |
+
"eval_accuracy": 0.36173254996280507,
|
28 |
+
"eval_loss": 3.8076581954956055,
|
29 |
+
"eval_runtime": 72.1326,
|
30 |
+
"eval_samples_per_second": 841.547,
|
31 |
+
"eval_steps_per_second": 13.156,
|
32 |
+
"step": 2241
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.3385936541571404,
|
36 |
+
"grad_norm": 0.5506306290626526,
|
37 |
+
"learning_rate": 9.375e-05,
|
38 |
+
"loss": 3.6973,
|
39 |
+
"step": 3000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 1.7846986003457315,
|
43 |
+
"grad_norm": 0.5420992374420166,
|
44 |
+
"learning_rate": 0.000125,
|
45 |
+
"loss": 3.438,
|
46 |
+
"step": 4000
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 1.999721184408632,
|
50 |
+
"eval_accuracy": 0.4103082413796779,
|
51 |
+
"eval_loss": 3.2954118251800537,
|
52 |
+
"eval_runtime": 71.9919,
|
53 |
+
"eval_samples_per_second": 843.192,
|
54 |
+
"eval_steps_per_second": 13.182,
|
55 |
+
"step": 4482
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"epoch": 2.23108236212569,
|
59 |
+
"grad_norm": 0.4806063771247864,
|
60 |
+
"learning_rate": 0.00015625,
|
61 |
+
"loss": 3.2452,
|
62 |
+
"step": 5000
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 2.6771873083142808,
|
66 |
+
"grad_norm": 0.45570075511932373,
|
67 |
+
"learning_rate": 0.0001875,
|
68 |
+
"loss": 3.124,
|
69 |
+
"step": 6000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 2.999721184408632,
|
73 |
+
"eval_accuracy": 0.4310424299861783,
|
74 |
+
"eval_loss": 3.0855491161346436,
|
75 |
+
"eval_runtime": 71.529,
|
76 |
+
"eval_samples_per_second": 848.648,
|
77 |
+
"eval_steps_per_second": 13.267,
|
78 |
+
"step": 6723
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 3.12357107009424,
|
82 |
+
"grad_norm": 0.4047807455062866,
|
83 |
+
"learning_rate": 0.00021875,
|
84 |
+
"loss": 3.0342,
|
85 |
+
"step": 7000
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 3.5696760162828305,
|
89 |
+
"grad_norm": 0.3797657787799835,
|
90 |
+
"learning_rate": 0.00025,
|
91 |
+
"loss": 2.964,
|
92 |
+
"step": 8000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.999721184408632,
|
96 |
+
"eval_accuracy": 0.4414220571842397,
|
97 |
+
"eval_loss": 2.9820733070373535,
|
98 |
+
"eval_runtime": 70.9825,
|
99 |
+
"eval_samples_per_second": 855.182,
|
100 |
+
"eval_steps_per_second": 13.369,
|
101 |
+
"step": 8964
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 4.01605977806279,
|
105 |
+
"grad_norm": 0.38084328174591064,
|
106 |
+
"learning_rate": 0.00028125000000000003,
|
107 |
+
"loss": 2.9201,
|
108 |
+
"step": 9000
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 4.46216472425138,
|
112 |
+
"grad_norm": 0.34799855947494507,
|
113 |
+
"learning_rate": 0.0003125,
|
114 |
+
"loss": 2.8626,
|
115 |
+
"step": 10000
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 4.908269670439971,
|
119 |
+
"grad_norm": 0.3457787334918976,
|
120 |
+
"learning_rate": 0.00034375,
|
121 |
+
"loss": 2.8431,
|
122 |
+
"step": 11000
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 4.9997211844086324,
|
126 |
+
"eval_accuracy": 0.4475276442389222,
|
127 |
+
"eval_loss": 2.921679973602295,
|
128 |
+
"eval_runtime": 70.5951,
|
129 |
+
"eval_samples_per_second": 859.875,
|
130 |
+
"eval_steps_per_second": 13.443,
|
131 |
+
"step": 11205
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 5.35465343221993,
|
135 |
+
"grad_norm": 0.3201024830341339,
|
136 |
+
"learning_rate": 0.000375,
|
137 |
+
"loss": 2.7975,
|
138 |
+
"step": 12000
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 5.800758378408521,
|
142 |
+
"grad_norm": 0.29664143919944763,
|
143 |
+
"learning_rate": 0.00040625000000000004,
|
144 |
+
"loss": 2.7861,
|
145 |
+
"step": 13000
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 5.9997211844086324,
|
149 |
+
"eval_accuracy": 0.45178146378397166,
|
150 |
+
"eval_loss": 2.882841110229492,
|
151 |
+
"eval_runtime": 70.4869,
|
152 |
+
"eval_samples_per_second": 861.195,
|
153 |
+
"eval_steps_per_second": 13.463,
|
154 |
+
"step": 13446
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 6.24714214018848,
|
158 |
+
"grad_norm": 0.30828335881233215,
|
159 |
+
"learning_rate": 0.0004375,
|
160 |
+
"loss": 2.7565,
|
161 |
+
"step": 14000
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 6.69324708637707,
|
165 |
+
"grad_norm": 0.2784518599510193,
|
166 |
+
"learning_rate": 0.00046871875,
|
167 |
+
"loss": 2.7474,
|
168 |
+
"step": 15000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 6.9997211844086324,
|
172 |
+
"eval_accuracy": 0.4548471778214276,
|
173 |
+
"eval_loss": 2.855525016784668,
|
174 |
+
"eval_runtime": 70.476,
|
175 |
+
"eval_samples_per_second": 861.328,
|
176 |
+
"eval_steps_per_second": 13.466,
|
177 |
+
"step": 15687
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 7.1396308481570285,
|
181 |
+
"grad_norm": 0.29578331112861633,
|
182 |
+
"learning_rate": 0.00049996875,
|
183 |
+
"loss": 2.7271,
|
184 |
+
"step": 16000
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 7.58573579434562,
|
188 |
+
"grad_norm": 0.25437843799591064,
|
189 |
+
"learning_rate": 0.00053121875,
|
190 |
+
"loss": 2.7083,
|
191 |
+
"step": 17000
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.9997211844086324,
|
195 |
+
"eval_accuracy": 0.45683654876378177,
|
196 |
+
"eval_loss": 2.836312770843506,
|
197 |
+
"eval_runtime": 70.4512,
|
198 |
+
"eval_samples_per_second": 861.632,
|
199 |
+
"eval_steps_per_second": 13.47,
|
200 |
+
"step": 17928
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 8.03211955612558,
|
204 |
+
"grad_norm": 0.2703135907649994,
|
205 |
+
"learning_rate": 0.0005624375,
|
206 |
+
"loss": 2.7104,
|
207 |
+
"step": 18000
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 8.47822450231417,
|
211 |
+
"grad_norm": 0.24806231260299683,
|
212 |
+
"learning_rate": 0.0005936875,
|
213 |
+
"loss": 2.6771,
|
214 |
+
"step": 19000
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 8.92432944850276,
|
218 |
+
"grad_norm": 0.2299337089061737,
|
219 |
+
"learning_rate": 0.00062490625,
|
220 |
+
"loss": 2.6908,
|
221 |
+
"step": 20000
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 8.999721184408632,
|
225 |
+
"eval_accuracy": 0.4584115589467588,
|
226 |
+
"eval_loss": 2.8230695724487305,
|
227 |
+
"eval_runtime": 70.6865,
|
228 |
+
"eval_samples_per_second": 858.764,
|
229 |
+
"eval_steps_per_second": 13.425,
|
230 |
+
"step": 20169
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 9.37071321028272,
|
234 |
+
"grad_norm": 0.2225543111562729,
|
235 |
+
"learning_rate": 0.0006561562500000001,
|
236 |
+
"loss": 2.6592,
|
237 |
+
"step": 21000
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 9.81681815647131,
|
241 |
+
"grad_norm": 0.21800974011421204,
|
242 |
+
"learning_rate": 0.0006873749999999999,
|
243 |
+
"loss": 2.6704,
|
244 |
+
"step": 22000
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 9.999721184408632,
|
248 |
+
"eval_accuracy": 0.4594804727485446,
|
249 |
+
"eval_loss": 2.8132576942443848,
|
250 |
+
"eval_runtime": 70.4993,
|
251 |
+
"eval_samples_per_second": 861.044,
|
252 |
+
"eval_steps_per_second": 13.461,
|
253 |
+
"step": 22410
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 10.26320191825127,
|
257 |
+
"grad_norm": 0.2179899364709854,
|
258 |
+
"learning_rate": 0.000718625,
|
259 |
+
"loss": 2.6507,
|
260 |
+
"step": 23000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 10.70930686443986,
|
264 |
+
"grad_norm": 0.21323835849761963,
|
265 |
+
"learning_rate": 0.000749875,
|
266 |
+
"loss": 2.6536,
|
267 |
+
"step": 24000
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 10.999721184408632,
|
271 |
+
"eval_accuracy": 0.46032088732895265,
|
272 |
+
"eval_loss": 2.8056821823120117,
|
273 |
+
"eval_runtime": 70.7016,
|
274 |
+
"eval_samples_per_second": 858.58,
|
275 |
+
"eval_steps_per_second": 13.423,
|
276 |
+
"step": 24651
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 11.155690626219819,
|
280 |
+
"grad_norm": 0.20048922300338745,
|
281 |
+
"learning_rate": 0.00078109375,
|
282 |
+
"loss": 2.6449,
|
283 |
+
"step": 25000
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 11.60179557240841,
|
287 |
+
"grad_norm": 0.1998824179172516,
|
288 |
+
"learning_rate": 0.00081234375,
|
289 |
+
"loss": 2.6385,
|
290 |
+
"step": 26000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 11.999721184408632,
|
294 |
+
"eval_accuracy": 0.46126305092651365,
|
295 |
+
"eval_loss": 2.7991325855255127,
|
296 |
+
"eval_runtime": 70.2522,
|
297 |
+
"eval_samples_per_second": 864.072,
|
298 |
+
"eval_steps_per_second": 13.508,
|
299 |
+
"step": 26892
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 12.048179334188367,
|
303 |
+
"grad_norm": 0.2191251516342163,
|
304 |
+
"learning_rate": 0.0008435625,
|
305 |
+
"loss": 2.6464,
|
306 |
+
"step": 27000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 12.49428428037696,
|
310 |
+
"grad_norm": 0.1840791553258896,
|
311 |
+
"learning_rate": 0.0008748125,
|
312 |
+
"loss": 2.6216,
|
313 |
+
"step": 28000
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 12.94038922656555,
|
317 |
+
"grad_norm": 0.17640572786331177,
|
318 |
+
"learning_rate": 0.0009060312499999999,
|
319 |
+
"loss": 2.6417,
|
320 |
+
"step": 29000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 12.999721184408632,
|
324 |
+
"eval_accuracy": 0.46212052058027303,
|
325 |
+
"eval_loss": 2.7933452129364014,
|
326 |
+
"eval_runtime": 70.3959,
|
327 |
+
"eval_samples_per_second": 862.309,
|
328 |
+
"eval_steps_per_second": 13.481,
|
329 |
+
"step": 29133
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 13.386772988345509,
|
333 |
+
"grad_norm": 0.18327829241752625,
|
334 |
+
"learning_rate": 0.00093728125,
|
335 |
+
"loss": 2.6113,
|
336 |
+
"step": 30000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 13.8328779345341,
|
340 |
+
"grad_norm": 0.18839265406131744,
|
341 |
+
"learning_rate": 0.00096853125,
|
342 |
+
"loss": 2.6348,
|
343 |
+
"step": 31000
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 13.999721184408632,
|
347 |
+
"eval_accuracy": 0.46265898283930146,
|
348 |
+
"eval_loss": 2.788285970687866,
|
349 |
+
"eval_runtime": 70.5003,
|
350 |
+
"eval_samples_per_second": 861.032,
|
351 |
+
"eval_steps_per_second": 13.461,
|
352 |
+
"step": 31374
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 14.279261696314057,
|
356 |
+
"grad_norm": 0.18754950165748596,
|
357 |
+
"learning_rate": 0.00099975,
|
358 |
+
"loss": 2.6136,
|
359 |
+
"step": 32000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 14.72536664250265,
|
363 |
+
"grad_norm": 0.17947959899902344,
|
364 |
+
"learning_rate": 0.0009226209048361935,
|
365 |
+
"loss": 2.6156,
|
366 |
+
"step": 33000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 14.999721184408632,
|
370 |
+
"eval_accuracy": 0.46483098519212634,
|
371 |
+
"eval_loss": 2.7718214988708496,
|
372 |
+
"eval_runtime": 70.2832,
|
373 |
+
"eval_samples_per_second": 863.692,
|
374 |
+
"eval_steps_per_second": 13.503,
|
375 |
+
"step": 33615
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 15.171750404282607,
|
379 |
+
"grad_norm": 0.17530585825443268,
|
380 |
+
"learning_rate": 0.0008446957878315133,
|
381 |
+
"loss": 2.593,
|
382 |
+
"step": 34000
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 15.6178553504712,
|
386 |
+
"grad_norm": 0.17448733747005463,
|
387 |
+
"learning_rate": 0.0007666926677067083,
|
388 |
+
"loss": 2.5708,
|
389 |
+
"step": 35000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 15.999721184408632,
|
393 |
+
"eval_accuracy": 0.46829445713346207,
|
394 |
+
"eval_loss": 2.744858741760254,
|
395 |
+
"eval_runtime": 71.3532,
|
396 |
+
"eval_samples_per_second": 850.739,
|
397 |
+
"eval_steps_per_second": 13.3,
|
398 |
+
"step": 35856
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 16.06423911225116,
|
402 |
+
"grad_norm": 0.18279102444648743,
|
403 |
+
"learning_rate": 0.0006886895475819032,
|
404 |
+
"loss": 2.5623,
|
405 |
+
"step": 36000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 16.51034405843975,
|
409 |
+
"grad_norm": 0.1779509037733078,
|
410 |
+
"learning_rate": 0.0006106864274570983,
|
411 |
+
"loss": 2.5179,
|
412 |
+
"step": 37000
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 16.95644900462834,
|
416 |
+
"grad_norm": 0.17570973932743073,
|
417 |
+
"learning_rate": 0.0005327613104524182,
|
418 |
+
"loss": 2.5219,
|
419 |
+
"step": 38000
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 16.99972118440863,
|
423 |
+
"eval_accuracy": 0.4711115159537614,
|
424 |
+
"eval_loss": 2.722611665725708,
|
425 |
+
"eval_runtime": 70.6828,
|
426 |
+
"eval_samples_per_second": 858.809,
|
427 |
+
"eval_steps_per_second": 13.426,
|
428 |
+
"step": 38097
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 17.4028327664083,
|
432 |
+
"grad_norm": 0.1890154480934143,
|
433 |
+
"learning_rate": 0.00045475819032761314,
|
434 |
+
"loss": 2.4645,
|
435 |
+
"step": 39000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 17.84893771259689,
|
439 |
+
"grad_norm": 0.18561357259750366,
|
440 |
+
"learning_rate": 0.00037683307332293293,
|
441 |
+
"loss": 2.4669,
|
442 |
+
"step": 40000
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 17.99972118440863,
|
446 |
+
"eval_accuracy": 0.4742804648670334,
|
447 |
+
"eval_loss": 2.701925277709961,
|
448 |
+
"eval_runtime": 70.3229,
|
449 |
+
"eval_samples_per_second": 863.203,
|
450 |
+
"eval_steps_per_second": 13.495,
|
451 |
+
"step": 40338
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 18.29532147437685,
|
455 |
+
"grad_norm": 0.1927938163280487,
|
456 |
+
"learning_rate": 0.0002988299531981279,
|
457 |
+
"loss": 2.4194,
|
458 |
+
"step": 41000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 18.74142642056544,
|
462 |
+
"grad_norm": 0.195767343044281,
|
463 |
+
"learning_rate": 0.00022090483619344775,
|
464 |
+
"loss": 2.4023,
|
465 |
+
"step": 42000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 18.99972118440863,
|
469 |
+
"eval_accuracy": 0.47688595033420517,
|
470 |
+
"eval_loss": 2.689098834991455,
|
471 |
+
"eval_runtime": 70.641,
|
472 |
+
"eval_samples_per_second": 859.317,
|
473 |
+
"eval_steps_per_second": 13.434,
|
474 |
+
"step": 42579
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 19.187810182345398,
|
478 |
+
"grad_norm": 0.2046130895614624,
|
479 |
+
"learning_rate": 0.00014290171606864274,
|
480 |
+
"loss": 2.3731,
|
481 |
+
"step": 43000
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 19.63391512853399,
|
485 |
+
"grad_norm": 0.2043648362159729,
|
486 |
+
"learning_rate": 6.497659906396255e-05,
|
487 |
+
"loss": 2.3317,
|
488 |
+
"step": 44000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 19.99972118440863,
|
492 |
+
"eval_accuracy": 0.4783791090856058,
|
493 |
+
"eval_loss": 2.6849253177642822,
|
494 |
+
"eval_runtime": 70.7459,
|
495 |
+
"eval_samples_per_second": 858.042,
|
496 |
+
"eval_steps_per_second": 13.414,
|
497 |
+
"step": 44820
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 19.99972118440863,
|
501 |
+
"step": 44820,
|
502 |
+
"total_flos": 1.499260234235904e+18,
|
503 |
+
"train_loss": 2.807752750367791,
|
504 |
+
"train_runtime": 29691.1283,
|
505 |
+
"train_samples_per_second": 386.531,
|
506 |
+
"train_steps_per_second": 1.51
|
507 |
+
}
|
508 |
+
],
|
509 |
+
"logging_steps": 1000,
|
510 |
+
"max_steps": 44820,
|
511 |
+
"num_input_tokens_seen": 0,
|
512 |
+
"num_train_epochs": 20,
|
513 |
+
"save_steps": 500,
|
514 |
+
"stateful_callbacks": {
|
515 |
+
"EarlyStoppingCallback": {
|
516 |
+
"args": {
|
517 |
+
"early_stopping_patience": 3,
|
518 |
+
"early_stopping_threshold": 0.0
|
519 |
+
},
|
520 |
+
"attributes": {
|
521 |
+
"early_stopping_patience_counter": 0
|
522 |
+
}
|
523 |
+
},
|
524 |
+
"TrainerControl": {
|
525 |
+
"args": {
|
526 |
+
"should_epoch_stop": false,
|
527 |
+
"should_evaluate": false,
|
528 |
+
"should_log": false,
|
529 |
+
"should_save": true,
|
530 |
+
"should_training_stop": true
|
531 |
+
},
|
532 |
+
"attributes": {}
|
533 |
+
}
|
534 |
+
},
|
535 |
+
"total_flos": 1.499260234235904e+18,
|
536 |
+
"train_batch_size": 32,
|
537 |
+
"trial_name": null,
|
538 |
+
"trial_params": null
|
539 |
+
}
|