Training in progress, step 23500, checkpoint
Browse files
checkpoint-23500/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/clip-vit-large-patch14-336",
|
3 |
+
"architectures": [
|
4 |
+
"CLIPModel"
|
5 |
+
],
|
6 |
+
"initializer_factor": 1.0,
|
7 |
+
"logit_scale_init_value": 2.6592,
|
8 |
+
"model_type": "clip",
|
9 |
+
"projection_dim": 768,
|
10 |
+
"text_config": {
|
11 |
+
"dropout": 0.0,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"model_type": "clip_text_model",
|
15 |
+
"num_attention_heads": 12,
|
16 |
+
"projection_dim": 768
|
17 |
+
},
|
18 |
+
"torch_dtype": "float32",
|
19 |
+
"transformers_version": "4.45.0.dev0",
|
20 |
+
"vision_config": {
|
21 |
+
"dropout": 0.0,
|
22 |
+
"hidden_size": 1024,
|
23 |
+
"image_size": 336,
|
24 |
+
"intermediate_size": 4096,
|
25 |
+
"model_type": "clip_vision_model",
|
26 |
+
"num_attention_heads": 16,
|
27 |
+
"num_hidden_layers": 24,
|
28 |
+
"patch_size": 14,
|
29 |
+
"projection_dim": 768
|
30 |
+
}
|
31 |
+
}
|
checkpoint-23500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bfb38bd70666d3f71d0fde8fbd50335ad87c2111db8f1657011f7a0ab321e083
|
3 |
+
size 1711848436
|
checkpoint-23500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64c35a0d2b928aca7353b95d61a97faa2ad49367310e5b789252bbc264f421d4
|
3 |
+
size 3424043887
|
checkpoint-23500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c4e011e4da26830e432615c30ab10725bdcb4903c39c3eefb707c88f12b2d9cb
|
3 |
+
size 14503
|
checkpoint-23500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4618fdb7e20f4ebcce6e2afd850ceeffc57e2487d063caef4907a2c0410e0fe3
|
3 |
+
size 623
|
checkpoint-23500/trainer_state.json
ADDED
@@ -0,0 +1,738 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.17657655477523804,
|
3 |
+
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l57-l/checkpoint-23500",
|
4 |
+
"epoch": 3.935689164294088,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 23500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09211495946941783,
|
13 |
+
"grad_norm": 3.0293657779693604,
|
14 |
+
"learning_rate": 4.884856300663227e-07,
|
15 |
+
"loss": 0.271,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09211495946941783,
|
20 |
+
"eval_loss": 1.069305419921875,
|
21 |
+
"eval_runtime": 75.1409,
|
22 |
+
"eval_samples_per_second": 16.063,
|
23 |
+
"eval_steps_per_second": 2.01,
|
24 |
+
"step": 500
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.18422991893883567,
|
28 |
+
"grad_norm": 7.3040852546691895,
|
29 |
+
"learning_rate": 4.769712601326456e-07,
|
30 |
+
"loss": 0.2493,
|
31 |
+
"step": 1000
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.18422991893883567,
|
35 |
+
"eval_loss": 0.9427077770233154,
|
36 |
+
"eval_runtime": 74.8926,
|
37 |
+
"eval_samples_per_second": 16.116,
|
38 |
+
"eval_steps_per_second": 2.016,
|
39 |
+
"step": 1000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.2763448784082535,
|
43 |
+
"grad_norm": 0.020736657083034515,
|
44 |
+
"learning_rate": 4.654568901989683e-07,
|
45 |
+
"loss": 0.2348,
|
46 |
+
"step": 1500
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.2763448784082535,
|
50 |
+
"eval_loss": 0.8726764917373657,
|
51 |
+
"eval_runtime": 76.6621,
|
52 |
+
"eval_samples_per_second": 15.744,
|
53 |
+
"eval_steps_per_second": 1.97,
|
54 |
+
"step": 1500
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.36845983787767134,
|
58 |
+
"grad_norm": 5.3738909628009424e-05,
|
59 |
+
"learning_rate": 4.5394252026529107e-07,
|
60 |
+
"loss": 0.1552,
|
61 |
+
"step": 2000
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.36845983787767134,
|
65 |
+
"eval_loss": 0.8325753808021545,
|
66 |
+
"eval_runtime": 76.6127,
|
67 |
+
"eval_samples_per_second": 15.755,
|
68 |
+
"eval_steps_per_second": 1.971,
|
69 |
+
"step": 2000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.46057479734708917,
|
73 |
+
"grad_norm": 404.510009765625,
|
74 |
+
"learning_rate": 4.4242815033161386e-07,
|
75 |
+
"loss": 0.1753,
|
76 |
+
"step": 2500
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.46057479734708917,
|
80 |
+
"eval_loss": 0.7550467848777771,
|
81 |
+
"eval_runtime": 76.8024,
|
82 |
+
"eval_samples_per_second": 15.716,
|
83 |
+
"eval_steps_per_second": 1.966,
|
84 |
+
"step": 2500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.552689756816507,
|
88 |
+
"grad_norm": 370.7579650878906,
|
89 |
+
"learning_rate": 4.3091378039793665e-07,
|
90 |
+
"loss": 0.1659,
|
91 |
+
"step": 3000
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.552689756816507,
|
95 |
+
"eval_loss": 0.719167172908783,
|
96 |
+
"eval_runtime": 76.6327,
|
97 |
+
"eval_samples_per_second": 15.75,
|
98 |
+
"eval_steps_per_second": 1.97,
|
99 |
+
"step": 3000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.6448047162859248,
|
103 |
+
"grad_norm": 24.97766876220703,
|
104 |
+
"learning_rate": 4.193994104642594e-07,
|
105 |
+
"loss": 0.105,
|
106 |
+
"step": 3500
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.6448047162859248,
|
110 |
+
"eval_loss": 0.7117515802383423,
|
111 |
+
"eval_runtime": 77.1286,
|
112 |
+
"eval_samples_per_second": 15.649,
|
113 |
+
"eval_steps_per_second": 1.958,
|
114 |
+
"step": 3500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7369196757553427,
|
118 |
+
"grad_norm": 305.62060546875,
|
119 |
+
"learning_rate": 4.0788504053058217e-07,
|
120 |
+
"loss": 0.1336,
|
121 |
+
"step": 4000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.7369196757553427,
|
125 |
+
"eval_loss": 0.6952972412109375,
|
126 |
+
"eval_runtime": 76.7253,
|
127 |
+
"eval_samples_per_second": 15.731,
|
128 |
+
"eval_steps_per_second": 1.968,
|
129 |
+
"step": 4000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.8290346352247605,
|
133 |
+
"grad_norm": 506.12237548828125,
|
134 |
+
"learning_rate": 3.9637067059690496e-07,
|
135 |
+
"loss": 0.1154,
|
136 |
+
"step": 4500
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.8290346352247605,
|
140 |
+
"eval_loss": 0.6744509935379028,
|
141 |
+
"eval_runtime": 76.9493,
|
142 |
+
"eval_samples_per_second": 15.686,
|
143 |
+
"eval_steps_per_second": 1.962,
|
144 |
+
"step": 4500
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.9211495946941783,
|
148 |
+
"grad_norm": 8.823301322991028e-05,
|
149 |
+
"learning_rate": 3.8485630066322774e-07,
|
150 |
+
"loss": 0.108,
|
151 |
+
"step": 5000
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.9211495946941783,
|
155 |
+
"eval_loss": 0.6559990048408508,
|
156 |
+
"eval_runtime": 75.2391,
|
157 |
+
"eval_samples_per_second": 16.042,
|
158 |
+
"eval_steps_per_second": 2.007,
|
159 |
+
"step": 5000
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 1.013264554163596,
|
163 |
+
"grad_norm": 0.0008560372516512871,
|
164 |
+
"learning_rate": 3.733419307295504e-07,
|
165 |
+
"loss": 0.1106,
|
166 |
+
"step": 5500
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 1.013264554163596,
|
170 |
+
"eval_loss": 0.6367496848106384,
|
171 |
+
"eval_runtime": 77.0031,
|
172 |
+
"eval_samples_per_second": 15.675,
|
173 |
+
"eval_steps_per_second": 1.961,
|
174 |
+
"step": 5500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.105379513633014,
|
178 |
+
"grad_norm": 0.04510360211133957,
|
179 |
+
"learning_rate": 3.618275607958732e-07,
|
180 |
+
"loss": 0.0591,
|
181 |
+
"step": 6000
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.105379513633014,
|
185 |
+
"eval_loss": 0.6259325742721558,
|
186 |
+
"eval_runtime": 75.2787,
|
187 |
+
"eval_samples_per_second": 16.034,
|
188 |
+
"eval_steps_per_second": 2.006,
|
189 |
+
"step": 6000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 1.1974944731024317,
|
193 |
+
"grad_norm": 0.0005158882704563439,
|
194 |
+
"learning_rate": 3.50313190862196e-07,
|
195 |
+
"loss": 0.0745,
|
196 |
+
"step": 6500
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 1.1974944731024317,
|
200 |
+
"eval_loss": 0.6209793090820312,
|
201 |
+
"eval_runtime": 77.1989,
|
202 |
+
"eval_samples_per_second": 15.635,
|
203 |
+
"eval_steps_per_second": 1.956,
|
204 |
+
"step": 6500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.2896094325718497,
|
208 |
+
"grad_norm": 3.5883346072296263e-07,
|
209 |
+
"learning_rate": 3.387988209285188e-07,
|
210 |
+
"loss": 0.0502,
|
211 |
+
"step": 7000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 1.2896094325718497,
|
215 |
+
"eval_loss": 0.6133300065994263,
|
216 |
+
"eval_runtime": 75.1116,
|
217 |
+
"eval_samples_per_second": 16.069,
|
218 |
+
"eval_steps_per_second": 2.01,
|
219 |
+
"step": 7000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.3817243920412676,
|
223 |
+
"grad_norm": 21.66597557067871,
|
224 |
+
"learning_rate": 3.272844509948415e-07,
|
225 |
+
"loss": 0.079,
|
226 |
+
"step": 7500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.3817243920412676,
|
230 |
+
"eval_loss": 0.6006803512573242,
|
231 |
+
"eval_runtime": 75.0086,
|
232 |
+
"eval_samples_per_second": 16.091,
|
233 |
+
"eval_steps_per_second": 2.013,
|
234 |
+
"step": 7500
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.4738393515106853,
|
238 |
+
"grad_norm": 7.992870814632624e-05,
|
239 |
+
"learning_rate": 3.157700810611643e-07,
|
240 |
+
"loss": 0.0776,
|
241 |
+
"step": 8000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.4738393515106853,
|
245 |
+
"eval_loss": 0.5866427421569824,
|
246 |
+
"eval_runtime": 75.6702,
|
247 |
+
"eval_samples_per_second": 15.951,
|
248 |
+
"eval_steps_per_second": 1.996,
|
249 |
+
"step": 8000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.565954310980103,
|
253 |
+
"grad_norm": 0.0010381735628470778,
|
254 |
+
"learning_rate": 3.042557111274871e-07,
|
255 |
+
"loss": 0.0492,
|
256 |
+
"step": 8500
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 1.565954310980103,
|
260 |
+
"eval_loss": 0.5679212212562561,
|
261 |
+
"eval_runtime": 75.0643,
|
262 |
+
"eval_samples_per_second": 16.08,
|
263 |
+
"eval_steps_per_second": 2.012,
|
264 |
+
"step": 8500
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.658069270449521,
|
268 |
+
"grad_norm": 1.733377956725235e-07,
|
269 |
+
"learning_rate": 2.927413411938099e-07,
|
270 |
+
"loss": 0.0794,
|
271 |
+
"step": 9000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 1.658069270449521,
|
275 |
+
"eval_loss": 0.5761673450469971,
|
276 |
+
"eval_runtime": 76.2738,
|
277 |
+
"eval_samples_per_second": 15.825,
|
278 |
+
"eval_steps_per_second": 1.98,
|
279 |
+
"step": 9000
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.750184229918939,
|
283 |
+
"grad_norm": 3.1063287359023306e-11,
|
284 |
+
"learning_rate": 2.812269712601326e-07,
|
285 |
+
"loss": 0.0677,
|
286 |
+
"step": 9500
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.750184229918939,
|
290 |
+
"eval_loss": 0.5565799474716187,
|
291 |
+
"eval_runtime": 75.6897,
|
292 |
+
"eval_samples_per_second": 15.947,
|
293 |
+
"eval_steps_per_second": 1.995,
|
294 |
+
"step": 9500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.8422991893883567,
|
298 |
+
"grad_norm": 0.00010032750287791714,
|
299 |
+
"learning_rate": 2.697126013264554e-07,
|
300 |
+
"loss": 0.0566,
|
301 |
+
"step": 10000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.8422991893883567,
|
305 |
+
"eval_loss": 0.5482199192047119,
|
306 |
+
"eval_runtime": 75.0029,
|
307 |
+
"eval_samples_per_second": 16.093,
|
308 |
+
"eval_steps_per_second": 2.013,
|
309 |
+
"step": 10000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.9344141488577744,
|
313 |
+
"grad_norm": 5.553330595375883e-08,
|
314 |
+
"learning_rate": 2.581982313927782e-07,
|
315 |
+
"loss": 0.0828,
|
316 |
+
"step": 10500
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.9344141488577744,
|
320 |
+
"eval_loss": 0.5500391125679016,
|
321 |
+
"eval_runtime": 76.2612,
|
322 |
+
"eval_samples_per_second": 15.827,
|
323 |
+
"eval_steps_per_second": 1.98,
|
324 |
+
"step": 10500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 2.026529108327192,
|
328 |
+
"grad_norm": 1.5537947319899104e-06,
|
329 |
+
"learning_rate": 2.466838614591009e-07,
|
330 |
+
"loss": 0.0573,
|
331 |
+
"step": 11000
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 2.026529108327192,
|
335 |
+
"eval_loss": 0.5341849327087402,
|
336 |
+
"eval_runtime": 75.6131,
|
337 |
+
"eval_samples_per_second": 15.963,
|
338 |
+
"eval_steps_per_second": 1.997,
|
339 |
+
"step": 11000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.1186440677966103,
|
343 |
+
"grad_norm": 36.10622024536133,
|
344 |
+
"learning_rate": 2.3516949152542374e-07,
|
345 |
+
"loss": 0.0401,
|
346 |
+
"step": 11500
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.1186440677966103,
|
350 |
+
"eval_loss": 0.5351412296295166,
|
351 |
+
"eval_runtime": 74.8873,
|
352 |
+
"eval_samples_per_second": 16.118,
|
353 |
+
"eval_steps_per_second": 2.016,
|
354 |
+
"step": 11500
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.210759027266028,
|
358 |
+
"grad_norm": 0.49580878019332886,
|
359 |
+
"learning_rate": 2.236551215917465e-07,
|
360 |
+
"loss": 0.0152,
|
361 |
+
"step": 12000
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.210759027266028,
|
365 |
+
"eval_loss": 0.5349487662315369,
|
366 |
+
"eval_runtime": 76.3109,
|
367 |
+
"eval_samples_per_second": 15.817,
|
368 |
+
"eval_steps_per_second": 1.979,
|
369 |
+
"step": 12000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.3028739867354457,
|
373 |
+
"grad_norm": 1.7469781637191772,
|
374 |
+
"learning_rate": 2.1214075165806928e-07,
|
375 |
+
"loss": 0.0638,
|
376 |
+
"step": 12500
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 2.3028739867354457,
|
380 |
+
"eval_loss": 0.531768798828125,
|
381 |
+
"eval_runtime": 75.5712,
|
382 |
+
"eval_samples_per_second": 15.972,
|
383 |
+
"eval_steps_per_second": 1.998,
|
384 |
+
"step": 12500
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.3949889462048635,
|
388 |
+
"grad_norm": 0.0006845183088444173,
|
389 |
+
"learning_rate": 2.0062638172439202e-07,
|
390 |
+
"loss": 0.0488,
|
391 |
+
"step": 13000
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 2.3949889462048635,
|
395 |
+
"eval_loss": 0.530552089214325,
|
396 |
+
"eval_runtime": 75.6479,
|
397 |
+
"eval_samples_per_second": 15.955,
|
398 |
+
"eval_steps_per_second": 1.996,
|
399 |
+
"step": 13000
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 2.4871039056742816,
|
403 |
+
"grad_norm": 0.0002451306500006467,
|
404 |
+
"learning_rate": 1.891120117907148e-07,
|
405 |
+
"loss": 0.0456,
|
406 |
+
"step": 13500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 2.4871039056742816,
|
410 |
+
"eval_loss": 0.5211473107337952,
|
411 |
+
"eval_runtime": 76.4401,
|
412 |
+
"eval_samples_per_second": 15.79,
|
413 |
+
"eval_steps_per_second": 1.975,
|
414 |
+
"step": 13500
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 2.5792188651436994,
|
418 |
+
"grad_norm": 0.003609905717894435,
|
419 |
+
"learning_rate": 1.7759764185703757e-07,
|
420 |
+
"loss": 0.0264,
|
421 |
+
"step": 14000
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 2.5792188651436994,
|
425 |
+
"eval_loss": 0.5193639993667603,
|
426 |
+
"eval_runtime": 74.595,
|
427 |
+
"eval_samples_per_second": 16.181,
|
428 |
+
"eval_steps_per_second": 2.024,
|
429 |
+
"step": 14000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.671333824613117,
|
433 |
+
"grad_norm": 6.751325276610487e-09,
|
434 |
+
"learning_rate": 1.6608327192336035e-07,
|
435 |
+
"loss": 0.0381,
|
436 |
+
"step": 14500
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 2.671333824613117,
|
440 |
+
"eval_loss": 0.520633339881897,
|
441 |
+
"eval_runtime": 75.2937,
|
442 |
+
"eval_samples_per_second": 16.031,
|
443 |
+
"eval_steps_per_second": 2.005,
|
444 |
+
"step": 14500
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 2.7634487840825352,
|
448 |
+
"grad_norm": 8.452875022157968e-07,
|
449 |
+
"learning_rate": 1.5456890198968311e-07,
|
450 |
+
"loss": 0.0413,
|
451 |
+
"step": 15000
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 2.7634487840825352,
|
455 |
+
"eval_loss": 0.5167532563209534,
|
456 |
+
"eval_runtime": 75.615,
|
457 |
+
"eval_samples_per_second": 15.962,
|
458 |
+
"eval_steps_per_second": 1.997,
|
459 |
+
"step": 15000
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 2.855563743551953,
|
463 |
+
"grad_norm": 2.365756202049596e-11,
|
464 |
+
"learning_rate": 1.430545320560059e-07,
|
465 |
+
"loss": 0.0392,
|
466 |
+
"step": 15500
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 2.855563743551953,
|
470 |
+
"eval_loss": 0.5148531198501587,
|
471 |
+
"eval_runtime": 74.6217,
|
472 |
+
"eval_samples_per_second": 16.175,
|
473 |
+
"eval_steps_per_second": 2.024,
|
474 |
+
"step": 15500
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 2.9476787030213707,
|
478 |
+
"grad_norm": 0.32707780599594116,
|
479 |
+
"learning_rate": 1.3154016212232866e-07,
|
480 |
+
"loss": 0.0352,
|
481 |
+
"step": 16000
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 2.9476787030213707,
|
485 |
+
"eval_loss": 0.5112494826316833,
|
486 |
+
"eval_runtime": 75.142,
|
487 |
+
"eval_samples_per_second": 16.063,
|
488 |
+
"eval_steps_per_second": 2.01,
|
489 |
+
"step": 16000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 3.0397936624907884,
|
493 |
+
"grad_norm": 4.2568670810538833e-11,
|
494 |
+
"learning_rate": 1.2002579218865142e-07,
|
495 |
+
"loss": 0.0467,
|
496 |
+
"step": 16500
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 3.0397936624907884,
|
500 |
+
"eval_loss": 0.5097618699073792,
|
501 |
+
"eval_runtime": 75.705,
|
502 |
+
"eval_samples_per_second": 15.943,
|
503 |
+
"eval_steps_per_second": 1.995,
|
504 |
+
"step": 16500
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 3.131908621960206,
|
508 |
+
"grad_norm": 7.157668679980134e-09,
|
509 |
+
"learning_rate": 1.085114222549742e-07,
|
510 |
+
"loss": 0.0366,
|
511 |
+
"step": 17000
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 3.131908621960206,
|
515 |
+
"eval_loss": 0.5088639855384827,
|
516 |
+
"eval_runtime": 74.5863,
|
517 |
+
"eval_samples_per_second": 16.183,
|
518 |
+
"eval_steps_per_second": 2.025,
|
519 |
+
"step": 17000
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 3.2240235814296243,
|
523 |
+
"grad_norm": 0.5768880248069763,
|
524 |
+
"learning_rate": 9.699705232129697e-08,
|
525 |
+
"loss": 0.0454,
|
526 |
+
"step": 17500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 3.2240235814296243,
|
530 |
+
"eval_loss": 0.5103679299354553,
|
531 |
+
"eval_runtime": 74.9953,
|
532 |
+
"eval_samples_per_second": 16.094,
|
533 |
+
"eval_steps_per_second": 2.013,
|
534 |
+
"step": 17500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 3.316138540899042,
|
538 |
+
"grad_norm": 0.029806463047862053,
|
539 |
+
"learning_rate": 8.548268238761974e-08,
|
540 |
+
"loss": 0.0209,
|
541 |
+
"step": 18000
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 3.316138540899042,
|
545 |
+
"eval_loss": 0.5070606470108032,
|
546 |
+
"eval_runtime": 75.7962,
|
547 |
+
"eval_samples_per_second": 15.924,
|
548 |
+
"eval_steps_per_second": 1.992,
|
549 |
+
"step": 18000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 3.4082535003684598,
|
553 |
+
"grad_norm": 0.09116169810295105,
|
554 |
+
"learning_rate": 7.396831245394252e-08,
|
555 |
+
"loss": 0.0636,
|
556 |
+
"step": 18500
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 3.4082535003684598,
|
560 |
+
"eval_loss": 0.5044638514518738,
|
561 |
+
"eval_runtime": 74.7518,
|
562 |
+
"eval_samples_per_second": 16.147,
|
563 |
+
"eval_steps_per_second": 2.02,
|
564 |
+
"step": 18500
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 3.500368459837878,
|
568 |
+
"grad_norm": 0.13625642657279968,
|
569 |
+
"learning_rate": 6.245394252026529e-08,
|
570 |
+
"loss": 0.0159,
|
571 |
+
"step": 19000
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 3.500368459837878,
|
575 |
+
"eval_loss": 0.5019211769104004,
|
576 |
+
"eval_runtime": 75.0004,
|
577 |
+
"eval_samples_per_second": 16.093,
|
578 |
+
"eval_steps_per_second": 2.013,
|
579 |
+
"step": 19000
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 3.5924834193072956,
|
583 |
+
"grad_norm": 2.3882080313342158e-06,
|
584 |
+
"learning_rate": 5.0939572586588065e-08,
|
585 |
+
"loss": 0.0303,
|
586 |
+
"step": 19500
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 3.5924834193072956,
|
590 |
+
"eval_loss": 0.49851301312446594,
|
591 |
+
"eval_runtime": 75.7613,
|
592 |
+
"eval_samples_per_second": 15.932,
|
593 |
+
"eval_steps_per_second": 1.993,
|
594 |
+
"step": 19500
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 3.6845983787767134,
|
598 |
+
"grad_norm": 8.883699109674126e-09,
|
599 |
+
"learning_rate": 3.942520265291083e-08,
|
600 |
+
"loss": 0.0353,
|
601 |
+
"step": 20000
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 3.6845983787767134,
|
605 |
+
"eval_loss": 0.49747875332832336,
|
606 |
+
"eval_runtime": 74.5978,
|
607 |
+
"eval_samples_per_second": 16.18,
|
608 |
+
"eval_steps_per_second": 2.024,
|
609 |
+
"step": 20000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 3.776713338246131,
|
613 |
+
"grad_norm": 0.12466106563806534,
|
614 |
+
"learning_rate": 2.7910832719233602e-08,
|
615 |
+
"loss": 0.0261,
|
616 |
+
"step": 20500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 3.776713338246131,
|
620 |
+
"eval_loss": 0.4962019622325897,
|
621 |
+
"eval_runtime": 75.2409,
|
622 |
+
"eval_samples_per_second": 16.042,
|
623 |
+
"eval_steps_per_second": 2.007,
|
624 |
+
"step": 20500
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 3.868828297715549,
|
628 |
+
"grad_norm": 1.0646399317693067e-07,
|
629 |
+
"learning_rate": 1.6396462785556373e-08,
|
630 |
+
"loss": 0.0291,
|
631 |
+
"step": 21000
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 3.868828297715549,
|
635 |
+
"eval_loss": 0.49561700224876404,
|
636 |
+
"eval_runtime": 75.8041,
|
637 |
+
"eval_samples_per_second": 15.923,
|
638 |
+
"eval_steps_per_second": 1.992,
|
639 |
+
"step": 21000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 3.960943257184967,
|
643 |
+
"grad_norm": 3.997461042737349e-11,
|
644 |
+
"learning_rate": 4.882092851879145e-09,
|
645 |
+
"loss": 0.0338,
|
646 |
+
"step": 21500
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 3.960943257184967,
|
650 |
+
"eval_loss": 0.495645672082901,
|
651 |
+
"eval_runtime": 74.5834,
|
652 |
+
"eval_samples_per_second": 16.183,
|
653 |
+
"eval_steps_per_second": 2.025,
|
654 |
+
"step": 21500
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 3.6844749623178696,
|
658 |
+
"grad_norm": 0.022144177928566933,
|
659 |
+
"learning_rate": 3.944062971026629e-08,
|
660 |
+
"loss": 0.0432,
|
661 |
+
"step": 22000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 3.6844749623178696,
|
665 |
+
"eval_loss": 0.17835669219493866,
|
666 |
+
"eval_runtime": 7.4507,
|
667 |
+
"eval_samples_per_second": 16.24,
|
668 |
+
"eval_steps_per_second": 2.147,
|
669 |
+
"step": 22000
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 3.7682130296432756,
|
673 |
+
"grad_norm": 2.4324751279891643e-07,
|
674 |
+
"learning_rate": 2.897337129459052e-08,
|
675 |
+
"loss": 0.0461,
|
676 |
+
"step": 22500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 3.7682130296432756,
|
680 |
+
"eval_loss": 0.17669138312339783,
|
681 |
+
"eval_runtime": 7.5623,
|
682 |
+
"eval_samples_per_second": 16.0,
|
683 |
+
"eval_steps_per_second": 2.116,
|
684 |
+
"step": 22500
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 3.851951096968682,
|
688 |
+
"grad_norm": 4.172260048562748e-07,
|
689 |
+
"learning_rate": 1.8506112878914754e-08,
|
690 |
+
"loss": 0.0513,
|
691 |
+
"step": 23000
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 3.851951096968682,
|
695 |
+
"eval_loss": 0.1774093359708786,
|
696 |
+
"eval_runtime": 7.8193,
|
697 |
+
"eval_samples_per_second": 15.475,
|
698 |
+
"eval_steps_per_second": 2.046,
|
699 |
+
"step": 23000
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 3.935689164294088,
|
703 |
+
"grad_norm": 0.5274502038955688,
|
704 |
+
"learning_rate": 8.038854463238988e-09,
|
705 |
+
"loss": 0.0326,
|
706 |
+
"step": 23500
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 3.935689164294088,
|
710 |
+
"eval_loss": 0.17657655477523804,
|
711 |
+
"eval_runtime": 7.7889,
|
712 |
+
"eval_samples_per_second": 15.535,
|
713 |
+
"eval_steps_per_second": 2.054,
|
714 |
+
"step": 23500
|
715 |
+
}
|
716 |
+
],
|
717 |
+
"logging_steps": 500,
|
718 |
+
"max_steps": 23884,
|
719 |
+
"num_input_tokens_seen": 0,
|
720 |
+
"num_train_epochs": 4,
|
721 |
+
"save_steps": 500,
|
722 |
+
"stateful_callbacks": {
|
723 |
+
"TrainerControl": {
|
724 |
+
"args": {
|
725 |
+
"should_epoch_stop": false,
|
726 |
+
"should_evaluate": false,
|
727 |
+
"should_log": false,
|
728 |
+
"should_save": true,
|
729 |
+
"should_training_stop": false
|
730 |
+
},
|
731 |
+
"attributes": {}
|
732 |
+
}
|
733 |
+
},
|
734 |
+
"total_flos": 8455040771312520.0,
|
735 |
+
"train_batch_size": 2,
|
736 |
+
"trial_name": null,
|
737 |
+
"trial_params": null
|
738 |
+
}
|
checkpoint-23500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f71c1b7b2e3d63d5d414705f142c4860d9045ea3e8f1377d3c6bfb13c6fefb73
|
3 |
+
size 4847
|