Training in progress, step 25500, checkpoint
Browse files
checkpoint-25500/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-25500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:740388f6f21d78988b47275064826ab232c0051412b0b8c6eba173eb68fff972
|
3 |
+
size 1711848436
|
checkpoint-25500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d19ccf221d229993255fc41fd7c79e1ff0569d301e71d8246fd902f06acc10ba
|
3 |
+
size 3424043887
|
checkpoint-25500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:817e1baae2a2e5557822a7f9c029f8f56e9e8506adbfd61b42906a5efe09e6e3
|
3 |
+
size 14503
|
checkpoint-25500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:65b4926edda9b885beea8f15671c070662978e88c5f3aeb5f612e7a5b96b8bbd
|
3 |
+
size 623
|
checkpoint-25500/trainer_state.json
ADDED
@@ -0,0 +1,798 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.4704216718673706,
|
3 |
+
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l57-l/checkpoint-25000",
|
4 |
+
"epoch": 2.7197098976109215,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 25500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05332764505119454,
|
13 |
+
"grad_norm": 414.2552795410156,
|
14 |
+
"learning_rate": 4.911120591581342e-07,
|
15 |
+
"loss": 0.3809,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.05332764505119454,
|
20 |
+
"eval_loss": 1.1109352111816406,
|
21 |
+
"eval_runtime": 63.6734,
|
22 |
+
"eval_samples_per_second": 15.501,
|
23 |
+
"eval_steps_per_second": 1.947,
|
24 |
+
"step": 500
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.10665529010238908,
|
28 |
+
"grad_norm": 45.880027770996094,
|
29 |
+
"learning_rate": 4.822241183162685e-07,
|
30 |
+
"loss": 0.2649,
|
31 |
+
"step": 1000
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.10665529010238908,
|
35 |
+
"eval_loss": 0.9588962197303772,
|
36 |
+
"eval_runtime": 62.6825,
|
37 |
+
"eval_samples_per_second": 15.746,
|
38 |
+
"eval_steps_per_second": 1.978,
|
39 |
+
"step": 1000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.1599829351535836,
|
43 |
+
"grad_norm": 432.9915466308594,
|
44 |
+
"learning_rate": 4.733361774744027e-07,
|
45 |
+
"loss": 0.2104,
|
46 |
+
"step": 1500
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.1599829351535836,
|
50 |
+
"eval_loss": 0.90110844373703,
|
51 |
+
"eval_runtime": 62.6757,
|
52 |
+
"eval_samples_per_second": 15.748,
|
53 |
+
"eval_steps_per_second": 1.978,
|
54 |
+
"step": 1500
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.21331058020477817,
|
58 |
+
"grad_norm": 0.014208819717168808,
|
59 |
+
"learning_rate": 4.6444823663253695e-07,
|
60 |
+
"loss": 0.1849,
|
61 |
+
"step": 2000
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.21331058020477817,
|
65 |
+
"eval_loss": 0.8570474982261658,
|
66 |
+
"eval_runtime": 63.7296,
|
67 |
+
"eval_samples_per_second": 15.487,
|
68 |
+
"eval_steps_per_second": 1.946,
|
69 |
+
"step": 2000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.2666382252559727,
|
73 |
+
"grad_norm": 174.73324584960938,
|
74 |
+
"learning_rate": 4.5556029579067116e-07,
|
75 |
+
"loss": 0.2056,
|
76 |
+
"step": 2500
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.2666382252559727,
|
80 |
+
"eval_loss": 0.7895939350128174,
|
81 |
+
"eval_runtime": 63.8387,
|
82 |
+
"eval_samples_per_second": 15.461,
|
83 |
+
"eval_steps_per_second": 1.942,
|
84 |
+
"step": 2500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.3199658703071672,
|
88 |
+
"grad_norm": 9.852073823424234e-09,
|
89 |
+
"learning_rate": 4.4667235494880547e-07,
|
90 |
+
"loss": 0.159,
|
91 |
+
"step": 3000
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.3199658703071672,
|
95 |
+
"eval_loss": 0.7647623419761658,
|
96 |
+
"eval_runtime": 63.9155,
|
97 |
+
"eval_samples_per_second": 15.442,
|
98 |
+
"eval_steps_per_second": 1.94,
|
99 |
+
"step": 3000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.37329351535836175,
|
103 |
+
"grad_norm": 0.0025215104687958956,
|
104 |
+
"learning_rate": 4.377844141069397e-07,
|
105 |
+
"loss": 0.1696,
|
106 |
+
"step": 3500
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.37329351535836175,
|
110 |
+
"eval_loss": 0.7638036012649536,
|
111 |
+
"eval_runtime": 63.8003,
|
112 |
+
"eval_samples_per_second": 15.47,
|
113 |
+
"eval_steps_per_second": 1.944,
|
114 |
+
"step": 3500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.42662116040955633,
|
118 |
+
"grad_norm": 2.4611830711364746,
|
119 |
+
"learning_rate": 4.2889647326507393e-07,
|
120 |
+
"loss": 0.1125,
|
121 |
+
"step": 4000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.42662116040955633,
|
125 |
+
"eval_loss": 0.7486374378204346,
|
126 |
+
"eval_runtime": 63.9847,
|
127 |
+
"eval_samples_per_second": 15.426,
|
128 |
+
"eval_steps_per_second": 1.938,
|
129 |
+
"step": 4000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.47994880546075086,
|
133 |
+
"grad_norm": 5.230295658111572,
|
134 |
+
"learning_rate": 4.2000853242320814e-07,
|
135 |
+
"loss": 0.1322,
|
136 |
+
"step": 4500
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.47994880546075086,
|
140 |
+
"eval_loss": 0.7251659035682678,
|
141 |
+
"eval_runtime": 64.4782,
|
142 |
+
"eval_samples_per_second": 15.308,
|
143 |
+
"eval_steps_per_second": 1.923,
|
144 |
+
"step": 4500
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.5332764505119454,
|
148 |
+
"grad_norm": 3.821002974291332e-05,
|
149 |
+
"learning_rate": 4.1112059158134245e-07,
|
150 |
+
"loss": 0.1633,
|
151 |
+
"step": 5000
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.5332764505119454,
|
155 |
+
"eval_loss": 0.7035414576530457,
|
156 |
+
"eval_runtime": 62.6186,
|
157 |
+
"eval_samples_per_second": 15.762,
|
158 |
+
"eval_steps_per_second": 1.98,
|
159 |
+
"step": 5000
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.58660409556314,
|
163 |
+
"grad_norm": 5.916939244343666e-06,
|
164 |
+
"learning_rate": 4.0223265073947665e-07,
|
165 |
+
"loss": 0.125,
|
166 |
+
"step": 5500
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.58660409556314,
|
170 |
+
"eval_loss": 0.6792380809783936,
|
171 |
+
"eval_runtime": 65.0551,
|
172 |
+
"eval_samples_per_second": 15.172,
|
173 |
+
"eval_steps_per_second": 1.906,
|
174 |
+
"step": 5500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.6399317406143344,
|
178 |
+
"grad_norm": 92.8386459350586,
|
179 |
+
"learning_rate": 3.933447098976109e-07,
|
180 |
+
"loss": 0.1297,
|
181 |
+
"step": 6000
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.6399317406143344,
|
185 |
+
"eval_loss": 0.6549482345581055,
|
186 |
+
"eval_runtime": 64.0827,
|
187 |
+
"eval_samples_per_second": 15.402,
|
188 |
+
"eval_steps_per_second": 1.935,
|
189 |
+
"step": 6000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.693259385665529,
|
193 |
+
"grad_norm": 0.00014717792510055006,
|
194 |
+
"learning_rate": 3.8445676905574517e-07,
|
195 |
+
"loss": 0.1114,
|
196 |
+
"step": 6500
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.693259385665529,
|
200 |
+
"eval_loss": 0.6223254799842834,
|
201 |
+
"eval_runtime": 64.89,
|
202 |
+
"eval_samples_per_second": 15.21,
|
203 |
+
"eval_steps_per_second": 1.911,
|
204 |
+
"step": 6500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.7465870307167235,
|
208 |
+
"grad_norm": 4.789559397977428e-07,
|
209 |
+
"learning_rate": 3.755688282138794e-07,
|
210 |
+
"loss": 0.144,
|
211 |
+
"step": 7000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.7465870307167235,
|
215 |
+
"eval_loss": 0.6204637289047241,
|
216 |
+
"eval_runtime": 62.7674,
|
217 |
+
"eval_samples_per_second": 15.725,
|
218 |
+
"eval_steps_per_second": 1.976,
|
219 |
+
"step": 7000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.7999146757679181,
|
223 |
+
"grad_norm": 1.7078508138656616,
|
224 |
+
"learning_rate": 3.6668088737201363e-07,
|
225 |
+
"loss": 0.1399,
|
226 |
+
"step": 7500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.7999146757679181,
|
230 |
+
"eval_loss": 0.6074371933937073,
|
231 |
+
"eval_runtime": 63.4694,
|
232 |
+
"eval_samples_per_second": 15.551,
|
233 |
+
"eval_steps_per_second": 1.954,
|
234 |
+
"step": 7500
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.8532423208191127,
|
238 |
+
"grad_norm": 870.1183471679688,
|
239 |
+
"learning_rate": 3.5779294653014783e-07,
|
240 |
+
"loss": 0.141,
|
241 |
+
"step": 8000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.8532423208191127,
|
245 |
+
"eval_loss": 0.5950366854667664,
|
246 |
+
"eval_runtime": 62.915,
|
247 |
+
"eval_samples_per_second": 15.688,
|
248 |
+
"eval_steps_per_second": 1.971,
|
249 |
+
"step": 8000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.9065699658703071,
|
253 |
+
"grad_norm": 5.781071013188921e-05,
|
254 |
+
"learning_rate": 3.4890500568828214e-07,
|
255 |
+
"loss": 0.1291,
|
256 |
+
"step": 8500
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.9065699658703071,
|
260 |
+
"eval_loss": 0.5800224542617798,
|
261 |
+
"eval_runtime": 62.3336,
|
262 |
+
"eval_samples_per_second": 15.834,
|
263 |
+
"eval_steps_per_second": 1.989,
|
264 |
+
"step": 8500
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.9598976109215017,
|
268 |
+
"grad_norm": 1.3669992685317993,
|
269 |
+
"learning_rate": 3.4001706484641635e-07,
|
270 |
+
"loss": 0.1246,
|
271 |
+
"step": 9000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.9598976109215017,
|
275 |
+
"eval_loss": 0.5702486038208008,
|
276 |
+
"eval_runtime": 64.055,
|
277 |
+
"eval_samples_per_second": 15.409,
|
278 |
+
"eval_steps_per_second": 1.936,
|
279 |
+
"step": 9000
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.0132252559726962,
|
283 |
+
"grad_norm": 644.68115234375,
|
284 |
+
"learning_rate": 3.311291240045506e-07,
|
285 |
+
"loss": 0.1257,
|
286 |
+
"step": 9500
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.0132252559726962,
|
290 |
+
"eval_loss": 0.5807780623435974,
|
291 |
+
"eval_runtime": 62.5312,
|
292 |
+
"eval_samples_per_second": 15.784,
|
293 |
+
"eval_steps_per_second": 1.983,
|
294 |
+
"step": 9500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.0665529010238908,
|
298 |
+
"grad_norm": 27.854568481445312,
|
299 |
+
"learning_rate": 3.2224118316268486e-07,
|
300 |
+
"loss": 0.0336,
|
301 |
+
"step": 10000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.0665529010238908,
|
305 |
+
"eval_loss": 0.5713164210319519,
|
306 |
+
"eval_runtime": 62.5622,
|
307 |
+
"eval_samples_per_second": 15.776,
|
308 |
+
"eval_steps_per_second": 1.982,
|
309 |
+
"step": 10000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.1198805460750854,
|
313 |
+
"grad_norm": 0.00045933027286082506,
|
314 |
+
"learning_rate": 3.133532423208191e-07,
|
315 |
+
"loss": 0.0663,
|
316 |
+
"step": 10500
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.1198805460750854,
|
320 |
+
"eval_loss": 0.5601483583450317,
|
321 |
+
"eval_runtime": 63.4675,
|
322 |
+
"eval_samples_per_second": 15.551,
|
323 |
+
"eval_steps_per_second": 1.954,
|
324 |
+
"step": 10500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.17320819112628,
|
328 |
+
"grad_norm": 0.14330387115478516,
|
329 |
+
"learning_rate": 3.044653014789533e-07,
|
330 |
+
"loss": 0.078,
|
331 |
+
"step": 11000
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.17320819112628,
|
335 |
+
"eval_loss": 0.5580261945724487,
|
336 |
+
"eval_runtime": 63.3927,
|
337 |
+
"eval_samples_per_second": 15.57,
|
338 |
+
"eval_steps_per_second": 1.956,
|
339 |
+
"step": 11000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.2265358361774745,
|
343 |
+
"grad_norm": 4.066005518388316e-11,
|
344 |
+
"learning_rate": 2.955773606370876e-07,
|
345 |
+
"loss": 0.1118,
|
346 |
+
"step": 11500
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.2265358361774745,
|
350 |
+
"eval_loss": 0.5491370558738708,
|
351 |
+
"eval_runtime": 63.7293,
|
352 |
+
"eval_samples_per_second": 15.487,
|
353 |
+
"eval_steps_per_second": 1.946,
|
354 |
+
"step": 11500
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.2798634812286689,
|
358 |
+
"grad_norm": 7.519358769059181e-05,
|
359 |
+
"learning_rate": 2.8668941979522184e-07,
|
360 |
+
"loss": 0.0534,
|
361 |
+
"step": 12000
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 1.2798634812286689,
|
365 |
+
"eval_loss": 0.5478764772415161,
|
366 |
+
"eval_runtime": 62.7547,
|
367 |
+
"eval_samples_per_second": 15.728,
|
368 |
+
"eval_steps_per_second": 1.976,
|
369 |
+
"step": 12000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.3331911262798635,
|
373 |
+
"grad_norm": 8.400617446113756e-08,
|
374 |
+
"learning_rate": 2.778014789533561e-07,
|
375 |
+
"loss": 0.0507,
|
376 |
+
"step": 12500
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 1.3331911262798635,
|
380 |
+
"eval_loss": 0.576600968837738,
|
381 |
+
"eval_runtime": 64.301,
|
382 |
+
"eval_samples_per_second": 15.35,
|
383 |
+
"eval_steps_per_second": 1.928,
|
384 |
+
"step": 12500
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 1.386518771331058,
|
388 |
+
"grad_norm": 2.5385464130084356e-12,
|
389 |
+
"learning_rate": 2.689135381114903e-07,
|
390 |
+
"loss": 0.0784,
|
391 |
+
"step": 13000
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 1.386518771331058,
|
395 |
+
"eval_loss": 0.5729931592941284,
|
396 |
+
"eval_runtime": 63.652,
|
397 |
+
"eval_samples_per_second": 15.506,
|
398 |
+
"eval_steps_per_second": 1.948,
|
399 |
+
"step": 13000
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.4398464163822526,
|
403 |
+
"grad_norm": 0.08409273624420166,
|
404 |
+
"learning_rate": 2.600255972696246e-07,
|
405 |
+
"loss": 0.079,
|
406 |
+
"step": 13500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 1.4398464163822526,
|
410 |
+
"eval_loss": 0.5694039463996887,
|
411 |
+
"eval_runtime": 62.8247,
|
412 |
+
"eval_samples_per_second": 15.71,
|
413 |
+
"eval_steps_per_second": 1.974,
|
414 |
+
"step": 13500
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 1.493174061433447,
|
418 |
+
"grad_norm": 3.7334253022436314e-08,
|
419 |
+
"learning_rate": 2.511376564277588e-07,
|
420 |
+
"loss": 0.0507,
|
421 |
+
"step": 14000
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 1.493174061433447,
|
425 |
+
"eval_loss": 0.5713907480239868,
|
426 |
+
"eval_runtime": 62.3577,
|
427 |
+
"eval_samples_per_second": 15.828,
|
428 |
+
"eval_steps_per_second": 1.989,
|
429 |
+
"step": 14000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.5465017064846416,
|
433 |
+
"grad_norm": 1.5219894647598267,
|
434 |
+
"learning_rate": 2.422497155858931e-07,
|
435 |
+
"loss": 0.0774,
|
436 |
+
"step": 14500
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.5465017064846416,
|
440 |
+
"eval_loss": 0.5674533843994141,
|
441 |
+
"eval_runtime": 62.3753,
|
442 |
+
"eval_samples_per_second": 15.824,
|
443 |
+
"eval_steps_per_second": 1.988,
|
444 |
+
"step": 14500
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.5998293515358362,
|
448 |
+
"grad_norm": 879.1193237304688,
|
449 |
+
"learning_rate": 2.333617747440273e-07,
|
450 |
+
"loss": 0.0376,
|
451 |
+
"step": 15000
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 1.5998293515358362,
|
455 |
+
"eval_loss": 0.561253547668457,
|
456 |
+
"eval_runtime": 62.4788,
|
457 |
+
"eval_samples_per_second": 15.797,
|
458 |
+
"eval_steps_per_second": 1.985,
|
459 |
+
"step": 15000
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.6531569965870307,
|
463 |
+
"grad_norm": 0.0006221308722160757,
|
464 |
+
"learning_rate": 2.2447383390216154e-07,
|
465 |
+
"loss": 0.0929,
|
466 |
+
"step": 15500
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.6531569965870307,
|
470 |
+
"eval_loss": 0.5395999550819397,
|
471 |
+
"eval_runtime": 62.5651,
|
472 |
+
"eval_samples_per_second": 15.776,
|
473 |
+
"eval_steps_per_second": 1.982,
|
474 |
+
"step": 15500
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.7064846416382253,
|
478 |
+
"grad_norm": 37.85109329223633,
|
479 |
+
"learning_rate": 2.155858930602958e-07,
|
480 |
+
"loss": 0.0442,
|
481 |
+
"step": 16000
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 1.7064846416382253,
|
485 |
+
"eval_loss": 0.5307884216308594,
|
486 |
+
"eval_runtime": 62.4681,
|
487 |
+
"eval_samples_per_second": 15.8,
|
488 |
+
"eval_steps_per_second": 1.985,
|
489 |
+
"step": 16000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.75981228668942,
|
493 |
+
"grad_norm": 9.600337885773413e-11,
|
494 |
+
"learning_rate": 2.0669795221843002e-07,
|
495 |
+
"loss": 0.0593,
|
496 |
+
"step": 16500
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 1.75981228668942,
|
500 |
+
"eval_loss": 0.5230685472488403,
|
501 |
+
"eval_runtime": 63.8124,
|
502 |
+
"eval_samples_per_second": 15.467,
|
503 |
+
"eval_steps_per_second": 1.943,
|
504 |
+
"step": 16500
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 1.8131399317406145,
|
508 |
+
"grad_norm": 9.067448940129619e-13,
|
509 |
+
"learning_rate": 1.9781001137656428e-07,
|
510 |
+
"loss": 0.0578,
|
511 |
+
"step": 17000
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 1.8131399317406145,
|
515 |
+
"eval_loss": 0.5200281739234924,
|
516 |
+
"eval_runtime": 62.3767,
|
517 |
+
"eval_samples_per_second": 15.823,
|
518 |
+
"eval_steps_per_second": 1.988,
|
519 |
+
"step": 17000
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.8664675767918089,
|
523 |
+
"grad_norm": 0.00843018852174282,
|
524 |
+
"learning_rate": 1.889220705346985e-07,
|
525 |
+
"loss": 0.0928,
|
526 |
+
"step": 17500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 1.8664675767918089,
|
530 |
+
"eval_loss": 0.509168803691864,
|
531 |
+
"eval_runtime": 62.4108,
|
532 |
+
"eval_samples_per_second": 15.815,
|
533 |
+
"eval_steps_per_second": 1.987,
|
534 |
+
"step": 17500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.9197952218430034,
|
538 |
+
"grad_norm": 4.264631314754297e-09,
|
539 |
+
"learning_rate": 1.8003412969283277e-07,
|
540 |
+
"loss": 0.0633,
|
541 |
+
"step": 18000
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.9197952218430034,
|
545 |
+
"eval_loss": 0.4954444468021393,
|
546 |
+
"eval_runtime": 63.3639,
|
547 |
+
"eval_samples_per_second": 15.577,
|
548 |
+
"eval_steps_per_second": 1.957,
|
549 |
+
"step": 18000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.9731228668941978,
|
553 |
+
"grad_norm": 459.5137939453125,
|
554 |
+
"learning_rate": 1.7114618885096697e-07,
|
555 |
+
"loss": 0.067,
|
556 |
+
"step": 18500
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.9731228668941978,
|
560 |
+
"eval_loss": 0.49844062328338623,
|
561 |
+
"eval_runtime": 63.6573,
|
562 |
+
"eval_samples_per_second": 15.505,
|
563 |
+
"eval_steps_per_second": 1.948,
|
564 |
+
"step": 18500
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 2.0264505119453924,
|
568 |
+
"grad_norm": 0.27590689063072205,
|
569 |
+
"learning_rate": 1.6225824800910123e-07,
|
570 |
+
"loss": 0.0525,
|
571 |
+
"step": 19000
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 2.0264505119453924,
|
575 |
+
"eval_loss": 0.4999145269393921,
|
576 |
+
"eval_runtime": 63.1727,
|
577 |
+
"eval_samples_per_second": 15.624,
|
578 |
+
"eval_steps_per_second": 1.963,
|
579 |
+
"step": 19000
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 2.079778156996587,
|
583 |
+
"grad_norm": 1.349623744317796e-06,
|
584 |
+
"learning_rate": 1.533703071672355e-07,
|
585 |
+
"loss": 0.0301,
|
586 |
+
"step": 19500
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 2.079778156996587,
|
590 |
+
"eval_loss": 0.4926412105560303,
|
591 |
+
"eval_runtime": 63.4421,
|
592 |
+
"eval_samples_per_second": 15.557,
|
593 |
+
"eval_steps_per_second": 1.955,
|
594 |
+
"step": 19500
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.1331058020477816,
|
598 |
+
"grad_norm": 4.928138878312893e-06,
|
599 |
+
"learning_rate": 1.4448236632536972e-07,
|
600 |
+
"loss": 0.0408,
|
601 |
+
"step": 20000
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.1331058020477816,
|
605 |
+
"eval_loss": 0.4872625172138214,
|
606 |
+
"eval_runtime": 63.2047,
|
607 |
+
"eval_samples_per_second": 15.616,
|
608 |
+
"eval_steps_per_second": 1.962,
|
609 |
+
"step": 20000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 2.186433447098976,
|
613 |
+
"grad_norm": 0.003605826525017619,
|
614 |
+
"learning_rate": 1.3559442548350398e-07,
|
615 |
+
"loss": 0.0489,
|
616 |
+
"step": 20500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 2.186433447098976,
|
620 |
+
"eval_loss": 0.48834049701690674,
|
621 |
+
"eval_runtime": 63.5831,
|
622 |
+
"eval_samples_per_second": 15.523,
|
623 |
+
"eval_steps_per_second": 1.95,
|
624 |
+
"step": 20500
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 2.2397610921501707,
|
628 |
+
"grad_norm": 0.0027391298208385706,
|
629 |
+
"learning_rate": 1.267064846416382e-07,
|
630 |
+
"loss": 0.0354,
|
631 |
+
"step": 21000
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 2.2397610921501707,
|
635 |
+
"eval_loss": 0.4887964129447937,
|
636 |
+
"eval_runtime": 63.0462,
|
637 |
+
"eval_samples_per_second": 15.655,
|
638 |
+
"eval_steps_per_second": 1.967,
|
639 |
+
"step": 21000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.2930887372013653,
|
643 |
+
"grad_norm": 1.5921540352792363e-07,
|
644 |
+
"learning_rate": 1.1781854379977247e-07,
|
645 |
+
"loss": 0.0667,
|
646 |
+
"step": 21500
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.2930887372013653,
|
650 |
+
"eval_loss": 0.4866587221622467,
|
651 |
+
"eval_runtime": 63.4143,
|
652 |
+
"eval_samples_per_second": 15.564,
|
653 |
+
"eval_steps_per_second": 1.955,
|
654 |
+
"step": 21500
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 2.34641638225256,
|
658 |
+
"grad_norm": 3.954861771404694e-09,
|
659 |
+
"learning_rate": 1.0893060295790671e-07,
|
660 |
+
"loss": 0.0315,
|
661 |
+
"step": 22000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 2.34641638225256,
|
665 |
+
"eval_loss": 0.48805058002471924,
|
666 |
+
"eval_runtime": 63.4731,
|
667 |
+
"eval_samples_per_second": 15.55,
|
668 |
+
"eval_steps_per_second": 1.954,
|
669 |
+
"step": 22000
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.399744027303754,
|
673 |
+
"grad_norm": 1.405540217547241e-07,
|
674 |
+
"learning_rate": 1.0004266211604096e-07,
|
675 |
+
"loss": 0.0579,
|
676 |
+
"step": 22500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.399744027303754,
|
680 |
+
"eval_loss": 0.48956525325775146,
|
681 |
+
"eval_runtime": 63.5675,
|
682 |
+
"eval_samples_per_second": 15.527,
|
683 |
+
"eval_steps_per_second": 1.951,
|
684 |
+
"step": 22500
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 2.453071672354949,
|
688 |
+
"grad_norm": 2.2330443698592717e-06,
|
689 |
+
"learning_rate": 9.11547212741752e-08,
|
690 |
+
"loss": 0.0387,
|
691 |
+
"step": 23000
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 2.453071672354949,
|
695 |
+
"eval_loss": 0.48340705037117004,
|
696 |
+
"eval_runtime": 62.238,
|
697 |
+
"eval_samples_per_second": 15.858,
|
698 |
+
"eval_steps_per_second": 1.992,
|
699 |
+
"step": 23000
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.506399317406143,
|
703 |
+
"grad_norm": 0.000771363964304328,
|
704 |
+
"learning_rate": 8.226678043230943e-08,
|
705 |
+
"loss": 0.0495,
|
706 |
+
"step": 23500
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.506399317406143,
|
710 |
+
"eval_loss": 0.48572421073913574,
|
711 |
+
"eval_runtime": 62.5175,
|
712 |
+
"eval_samples_per_second": 15.788,
|
713 |
+
"eval_steps_per_second": 1.983,
|
714 |
+
"step": 23500
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 2.5597269624573378,
|
718 |
+
"grad_norm": 4.620137588062789e-06,
|
719 |
+
"learning_rate": 7.337883959044368e-08,
|
720 |
+
"loss": 0.0364,
|
721 |
+
"step": 24000
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 2.5597269624573378,
|
725 |
+
"eval_loss": 0.4860812723636627,
|
726 |
+
"eval_runtime": 64.1674,
|
727 |
+
"eval_samples_per_second": 15.382,
|
728 |
+
"eval_steps_per_second": 1.932,
|
729 |
+
"step": 24000
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 2.6130546075085324,
|
733 |
+
"grad_norm": 0.002093038521707058,
|
734 |
+
"learning_rate": 6.449089874857792e-08,
|
735 |
+
"loss": 0.0567,
|
736 |
+
"step": 24500
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 2.6130546075085324,
|
740 |
+
"eval_loss": 0.47645464539527893,
|
741 |
+
"eval_runtime": 62.5764,
|
742 |
+
"eval_samples_per_second": 15.773,
|
743 |
+
"eval_steps_per_second": 1.982,
|
744 |
+
"step": 24500
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.666382252559727,
|
748 |
+
"grad_norm": 0.06298387795686722,
|
749 |
+
"learning_rate": 5.560295790671217e-08,
|
750 |
+
"loss": 0.0293,
|
751 |
+
"step": 25000
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 2.666382252559727,
|
755 |
+
"eval_loss": 0.4704216718673706,
|
756 |
+
"eval_runtime": 62.5161,
|
757 |
+
"eval_samples_per_second": 15.788,
|
758 |
+
"eval_steps_per_second": 1.983,
|
759 |
+
"step": 25000
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 2.7197098976109215,
|
763 |
+
"grad_norm": 8.860251546138898e-05,
|
764 |
+
"learning_rate": 4.6715017064846414e-08,
|
765 |
+
"loss": 0.0423,
|
766 |
+
"step": 25500
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 2.7197098976109215,
|
770 |
+
"eval_loss": 0.4728304445743561,
|
771 |
+
"eval_runtime": 64.3471,
|
772 |
+
"eval_samples_per_second": 15.339,
|
773 |
+
"eval_steps_per_second": 1.927,
|
774 |
+
"step": 25500
|
775 |
+
}
|
776 |
+
],
|
777 |
+
"logging_steps": 500,
|
778 |
+
"max_steps": 28128,
|
779 |
+
"num_input_tokens_seen": 0,
|
780 |
+
"num_train_epochs": 3,
|
781 |
+
"save_steps": 500,
|
782 |
+
"stateful_callbacks": {
|
783 |
+
"TrainerControl": {
|
784 |
+
"args": {
|
785 |
+
"should_epoch_stop": false,
|
786 |
+
"should_evaluate": false,
|
787 |
+
"should_log": false,
|
788 |
+
"should_save": true,
|
789 |
+
"should_training_stop": false
|
790 |
+
},
|
791 |
+
"attributes": {}
|
792 |
+
}
|
793 |
+
},
|
794 |
+
"total_flos": 9174557473832520.0,
|
795 |
+
"train_batch_size": 2,
|
796 |
+
"trial_name": null,
|
797 |
+
"trial_params": null
|
798 |
+
}
|
checkpoint-25500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:057f6bbf1ff3e34abda0863071bbf5fdcc7edb1102f04dba05c7a15087bc3396
|
3 |
+
size 4847
|