End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1170 -0
README.md
CHANGED
@@ -4,7 +4,7 @@ base_model: google/long-t5-tglobal-xl
|
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
-
- scrolls
|
8 |
model-index:
|
9 |
- name: longt5_xl_sfd_20
|
10 |
results: []
|
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# longt5_xl_sfd_20
|
17 |
|
18 |
-
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the scrolls dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 4.8167
|
21 |
|
|
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
+
- tau/scrolls
|
8 |
model-index:
|
9 |
- name: longt5_xl_sfd_20
|
10 |
results: []
|
|
|
15 |
|
16 |
# longt5_xl_sfd_20
|
17 |
|
18 |
+
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls summ_screen_fd dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 4.8167
|
21 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.48,
|
3 |
+
"eval_loss": 4.81671667098999,
|
4 |
+
"eval_runtime": 80.254,
|
5 |
+
"eval_samples": 338,
|
6 |
+
"eval_samples_per_second": 4.212,
|
7 |
+
"eval_steps_per_second": 0.536,
|
8 |
+
"train_loss": 0.8494854368801628,
|
9 |
+
"train_runtime": 68771.7044,
|
10 |
+
"train_samples": 3673,
|
11 |
+
"train_samples_per_second": 1.068,
|
12 |
+
"train_steps_per_second": 0.004
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.48,
|
3 |
+
"eval_loss": 4.81671667098999,
|
4 |
+
"eval_runtime": 80.254,
|
5 |
+
"eval_samples": 338,
|
6 |
+
"eval_samples_per_second": 4.212,
|
7 |
+
"eval_steps_per_second": 0.536
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.48,
|
3 |
+
"train_loss": 0.8494854368801628,
|
4 |
+
"train_runtime": 68771.7044,
|
5 |
+
"train_samples": 3673,
|
6 |
+
"train_samples_per_second": 1.068,
|
7 |
+
"train_steps_per_second": 0.004
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1170 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.2994935512542725,
|
3 |
+
"best_model_checkpoint": "/exports/eddie/scratch/s1970716/models/longt5_xl_sfd_20/checkpoint-28",
|
4 |
+
"epoch": 19.47826086956522,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 280,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.14,
|
13 |
+
"grad_norm": 8.068708419799805,
|
14 |
+
"learning_rate": 0.001,
|
15 |
+
"loss": 3.274,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.28,
|
20 |
+
"grad_norm": 1.4994572401046753,
|
21 |
+
"learning_rate": 0.001,
|
22 |
+
"loss": 3.2963,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.42,
|
27 |
+
"grad_norm": 1.0570803880691528,
|
28 |
+
"learning_rate": 0.001,
|
29 |
+
"loss": 3.3164,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.56,
|
34 |
+
"grad_norm": 1.2446849346160889,
|
35 |
+
"learning_rate": 0.001,
|
36 |
+
"loss": 3.0866,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.7,
|
41 |
+
"grad_norm": 0.721084713935852,
|
42 |
+
"learning_rate": 0.001,
|
43 |
+
"loss": 2.8976,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.83,
|
48 |
+
"grad_norm": 1.2132383584976196,
|
49 |
+
"learning_rate": 0.001,
|
50 |
+
"loss": 2.8298,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.97,
|
55 |
+
"grad_norm": 0.4689762592315674,
|
56 |
+
"learning_rate": 0.001,
|
57 |
+
"loss": 2.9377,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.97,
|
62 |
+
"eval_loss": 2.7965147495269775,
|
63 |
+
"eval_runtime": 81.4763,
|
64 |
+
"eval_samples_per_second": 4.148,
|
65 |
+
"eval_steps_per_second": 0.528,
|
66 |
+
"step": 14
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.11,
|
70 |
+
"grad_norm": 0.42892181873321533,
|
71 |
+
"learning_rate": 0.001,
|
72 |
+
"loss": 2.741,
|
73 |
+
"step": 16
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 1.25,
|
77 |
+
"grad_norm": 0.4487678110599518,
|
78 |
+
"learning_rate": 0.001,
|
79 |
+
"loss": 2.4441,
|
80 |
+
"step": 18
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.39,
|
84 |
+
"grad_norm": 0.4653552770614624,
|
85 |
+
"learning_rate": 0.001,
|
86 |
+
"loss": 2.432,
|
87 |
+
"step": 20
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.53,
|
91 |
+
"grad_norm": 0.35275548696517944,
|
92 |
+
"learning_rate": 0.001,
|
93 |
+
"loss": 2.4016,
|
94 |
+
"step": 22
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 1.67,
|
98 |
+
"grad_norm": 0.43277695775032043,
|
99 |
+
"learning_rate": 0.001,
|
100 |
+
"loss": 2.391,
|
101 |
+
"step": 24
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.81,
|
105 |
+
"grad_norm": 0.3408297300338745,
|
106 |
+
"learning_rate": 0.001,
|
107 |
+
"loss": 2.3911,
|
108 |
+
"step": 26
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.95,
|
112 |
+
"grad_norm": 0.3205319344997406,
|
113 |
+
"learning_rate": 0.001,
|
114 |
+
"loss": 2.3247,
|
115 |
+
"step": 28
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 1.95,
|
119 |
+
"eval_loss": 2.2994935512542725,
|
120 |
+
"eval_runtime": 81.4693,
|
121 |
+
"eval_samples_per_second": 4.149,
|
122 |
+
"eval_steps_per_second": 0.528,
|
123 |
+
"step": 28
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.09,
|
127 |
+
"grad_norm": 0.4033512771129608,
|
128 |
+
"learning_rate": 0.001,
|
129 |
+
"loss": 2.0701,
|
130 |
+
"step": 30
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 2.23,
|
134 |
+
"grad_norm": 0.36825311183929443,
|
135 |
+
"learning_rate": 0.001,
|
136 |
+
"loss": 2.0968,
|
137 |
+
"step": 32
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 2.37,
|
141 |
+
"grad_norm": 0.5080482363700867,
|
142 |
+
"learning_rate": 0.001,
|
143 |
+
"loss": 2.0681,
|
144 |
+
"step": 34
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 2.5,
|
148 |
+
"grad_norm": 0.4196927845478058,
|
149 |
+
"learning_rate": 0.001,
|
150 |
+
"loss": 2.0914,
|
151 |
+
"step": 36
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 2.64,
|
155 |
+
"grad_norm": 0.3230506479740143,
|
156 |
+
"learning_rate": 0.001,
|
157 |
+
"loss": 2.0317,
|
158 |
+
"step": 38
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.78,
|
162 |
+
"grad_norm": 0.2733004689216614,
|
163 |
+
"learning_rate": 0.001,
|
164 |
+
"loss": 1.9723,
|
165 |
+
"step": 40
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 2.92,
|
169 |
+
"grad_norm": 0.2709517776966095,
|
170 |
+
"learning_rate": 0.001,
|
171 |
+
"loss": 1.9943,
|
172 |
+
"step": 42
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 2.99,
|
176 |
+
"eval_loss": 2.3308048248291016,
|
177 |
+
"eval_runtime": 81.5083,
|
178 |
+
"eval_samples_per_second": 4.147,
|
179 |
+
"eval_steps_per_second": 0.528,
|
180 |
+
"step": 43
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 3.06,
|
184 |
+
"grad_norm": 0.3230663537979126,
|
185 |
+
"learning_rate": 0.001,
|
186 |
+
"loss": 1.9093,
|
187 |
+
"step": 44
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 3.2,
|
191 |
+
"grad_norm": 0.3976946175098419,
|
192 |
+
"learning_rate": 0.001,
|
193 |
+
"loss": 1.7682,
|
194 |
+
"step": 46
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 3.34,
|
198 |
+
"grad_norm": 0.42008209228515625,
|
199 |
+
"learning_rate": 0.001,
|
200 |
+
"loss": 1.7119,
|
201 |
+
"step": 48
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 3.48,
|
205 |
+
"grad_norm": 0.31828513741493225,
|
206 |
+
"learning_rate": 0.001,
|
207 |
+
"loss": 1.7283,
|
208 |
+
"step": 50
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 3.62,
|
212 |
+
"grad_norm": 0.2448839396238327,
|
213 |
+
"learning_rate": 0.001,
|
214 |
+
"loss": 1.6905,
|
215 |
+
"step": 52
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 3.76,
|
219 |
+
"grad_norm": 0.25552132725715637,
|
220 |
+
"learning_rate": 0.001,
|
221 |
+
"loss": 1.6645,
|
222 |
+
"step": 54
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 3.9,
|
226 |
+
"grad_norm": 15.679224014282227,
|
227 |
+
"learning_rate": 0.001,
|
228 |
+
"loss": 1.7056,
|
229 |
+
"step": 56
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 3.97,
|
233 |
+
"eval_loss": 2.3368992805480957,
|
234 |
+
"eval_runtime": 81.4742,
|
235 |
+
"eval_samples_per_second": 4.149,
|
236 |
+
"eval_steps_per_second": 0.528,
|
237 |
+
"step": 57
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 4.03,
|
241 |
+
"grad_norm": 0.29547178745269775,
|
242 |
+
"learning_rate": 0.001,
|
243 |
+
"loss": 1.564,
|
244 |
+
"step": 58
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 4.17,
|
248 |
+
"grad_norm": 0.31610924005508423,
|
249 |
+
"learning_rate": 0.001,
|
250 |
+
"loss": 1.3607,
|
251 |
+
"step": 60
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 4.31,
|
255 |
+
"grad_norm": 0.32351407408714294,
|
256 |
+
"learning_rate": 0.001,
|
257 |
+
"loss": 1.4158,
|
258 |
+
"step": 62
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 4.45,
|
262 |
+
"grad_norm": 0.5101042985916138,
|
263 |
+
"learning_rate": 0.001,
|
264 |
+
"loss": 1.4694,
|
265 |
+
"step": 64
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 4.59,
|
269 |
+
"grad_norm": 0.41575145721435547,
|
270 |
+
"learning_rate": 0.001,
|
271 |
+
"loss": 1.4755,
|
272 |
+
"step": 66
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 4.73,
|
276 |
+
"grad_norm": 0.3269899785518646,
|
277 |
+
"learning_rate": 0.001,
|
278 |
+
"loss": 1.4268,
|
279 |
+
"step": 68
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 4.87,
|
283 |
+
"grad_norm": 0.4077276587486267,
|
284 |
+
"learning_rate": 0.001,
|
285 |
+
"loss": 1.4471,
|
286 |
+
"step": 70
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 4.94,
|
290 |
+
"eval_loss": 2.553175926208496,
|
291 |
+
"eval_runtime": 81.5149,
|
292 |
+
"eval_samples_per_second": 4.146,
|
293 |
+
"eval_steps_per_second": 0.528,
|
294 |
+
"step": 71
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 5.01,
|
298 |
+
"grad_norm": 0.37493908405303955,
|
299 |
+
"learning_rate": 0.001,
|
300 |
+
"loss": 1.4436,
|
301 |
+
"step": 72
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 5.15,
|
305 |
+
"grad_norm": 0.8398223519325256,
|
306 |
+
"learning_rate": 0.001,
|
307 |
+
"loss": 1.1776,
|
308 |
+
"step": 74
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 5.29,
|
312 |
+
"grad_norm": 0.621316134929657,
|
313 |
+
"learning_rate": 0.001,
|
314 |
+
"loss": 1.192,
|
315 |
+
"step": 76
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 5.43,
|
319 |
+
"grad_norm": 0.5988876819610596,
|
320 |
+
"learning_rate": 0.001,
|
321 |
+
"loss": 1.1561,
|
322 |
+
"step": 78
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 5.57,
|
326 |
+
"grad_norm": 0.561390221118927,
|
327 |
+
"learning_rate": 0.001,
|
328 |
+
"loss": 1.2129,
|
329 |
+
"step": 80
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 5.7,
|
333 |
+
"grad_norm": 0.32573097944259644,
|
334 |
+
"learning_rate": 0.001,
|
335 |
+
"loss": 1.19,
|
336 |
+
"step": 82
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 5.84,
|
340 |
+
"grad_norm": 0.3272527754306793,
|
341 |
+
"learning_rate": 0.001,
|
342 |
+
"loss": 1.1933,
|
343 |
+
"step": 84
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 5.98,
|
347 |
+
"grad_norm": 0.36107558012008667,
|
348 |
+
"learning_rate": 0.001,
|
349 |
+
"loss": 1.1932,
|
350 |
+
"step": 86
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 5.98,
|
354 |
+
"eval_loss": 2.696089744567871,
|
355 |
+
"eval_runtime": 81.5294,
|
356 |
+
"eval_samples_per_second": 4.146,
|
357 |
+
"eval_steps_per_second": 0.527,
|
358 |
+
"step": 86
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 6.12,
|
362 |
+
"grad_norm": 0.4167131781578064,
|
363 |
+
"learning_rate": 0.001,
|
364 |
+
"loss": 0.9285,
|
365 |
+
"step": 88
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 6.26,
|
369 |
+
"grad_norm": 0.38736867904663086,
|
370 |
+
"learning_rate": 0.001,
|
371 |
+
"loss": 0.9568,
|
372 |
+
"step": 90
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 6.4,
|
376 |
+
"grad_norm": 0.3212537169456482,
|
377 |
+
"learning_rate": 0.001,
|
378 |
+
"loss": 0.9538,
|
379 |
+
"step": 92
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 6.54,
|
383 |
+
"grad_norm": 0.2966512143611908,
|
384 |
+
"learning_rate": 0.001,
|
385 |
+
"loss": 0.9133,
|
386 |
+
"step": 94
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 6.68,
|
390 |
+
"grad_norm": 0.3149372935295105,
|
391 |
+
"learning_rate": 0.001,
|
392 |
+
"loss": 0.9374,
|
393 |
+
"step": 96
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 6.82,
|
397 |
+
"grad_norm": 0.3140605092048645,
|
398 |
+
"learning_rate": 0.001,
|
399 |
+
"loss": 0.9585,
|
400 |
+
"step": 98
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 6.96,
|
404 |
+
"grad_norm": 0.33559679985046387,
|
405 |
+
"learning_rate": 0.001,
|
406 |
+
"loss": 0.9199,
|
407 |
+
"step": 100
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 6.96,
|
411 |
+
"eval_loss": 2.645321846008301,
|
412 |
+
"eval_runtime": 81.5044,
|
413 |
+
"eval_samples_per_second": 4.147,
|
414 |
+
"eval_steps_per_second": 0.528,
|
415 |
+
"step": 100
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 7.1,
|
419 |
+
"grad_norm": 0.3616858720779419,
|
420 |
+
"learning_rate": 0.001,
|
421 |
+
"loss": 0.7517,
|
422 |
+
"step": 102
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 7.23,
|
426 |
+
"grad_norm": 0.4970415234565735,
|
427 |
+
"learning_rate": 0.001,
|
428 |
+
"loss": 0.7378,
|
429 |
+
"step": 104
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 7.37,
|
433 |
+
"grad_norm": 0.6654688119888306,
|
434 |
+
"learning_rate": 0.001,
|
435 |
+
"loss": 0.7864,
|
436 |
+
"step": 106
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 7.51,
|
440 |
+
"grad_norm": 0.51229327917099,
|
441 |
+
"learning_rate": 0.001,
|
442 |
+
"loss": 0.762,
|
443 |
+
"step": 108
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 7.65,
|
447 |
+
"grad_norm": 0.4524416923522949,
|
448 |
+
"learning_rate": 0.001,
|
449 |
+
"loss": 0.7342,
|
450 |
+
"step": 110
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 7.79,
|
454 |
+
"grad_norm": 0.48206427693367004,
|
455 |
+
"learning_rate": 0.001,
|
456 |
+
"loss": 0.7706,
|
457 |
+
"step": 112
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 7.93,
|
461 |
+
"grad_norm": 0.4534417688846588,
|
462 |
+
"learning_rate": 0.001,
|
463 |
+
"loss": 0.7571,
|
464 |
+
"step": 114
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 8.0,
|
468 |
+
"eval_loss": 3.0977730751037598,
|
469 |
+
"eval_runtime": 81.5778,
|
470 |
+
"eval_samples_per_second": 4.143,
|
471 |
+
"eval_steps_per_second": 0.527,
|
472 |
+
"step": 115
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 8.07,
|
476 |
+
"grad_norm": 0.306815505027771,
|
477 |
+
"learning_rate": 0.001,
|
478 |
+
"loss": 0.6809,
|
479 |
+
"step": 116
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 8.21,
|
483 |
+
"grad_norm": 0.34183812141418457,
|
484 |
+
"learning_rate": 0.001,
|
485 |
+
"loss": 0.5853,
|
486 |
+
"step": 118
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 8.35,
|
490 |
+
"grad_norm": 0.3781261444091797,
|
491 |
+
"learning_rate": 0.001,
|
492 |
+
"loss": 0.5819,
|
493 |
+
"step": 120
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 8.49,
|
497 |
+
"grad_norm": 0.36344149708747864,
|
498 |
+
"learning_rate": 0.001,
|
499 |
+
"loss": 0.6059,
|
500 |
+
"step": 122
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 8.63,
|
504 |
+
"grad_norm": 0.38990476727485657,
|
505 |
+
"learning_rate": 0.001,
|
506 |
+
"loss": 0.5929,
|
507 |
+
"step": 124
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 8.77,
|
511 |
+
"grad_norm": 0.34000781178474426,
|
512 |
+
"learning_rate": 0.001,
|
513 |
+
"loss": 0.5887,
|
514 |
+
"step": 126
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 8.9,
|
518 |
+
"grad_norm": 0.32895970344543457,
|
519 |
+
"learning_rate": 0.001,
|
520 |
+
"loss": 0.6287,
|
521 |
+
"step": 128
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 8.97,
|
525 |
+
"eval_loss": 3.145782709121704,
|
526 |
+
"eval_runtime": 81.5735,
|
527 |
+
"eval_samples_per_second": 4.144,
|
528 |
+
"eval_steps_per_second": 0.527,
|
529 |
+
"step": 129
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 9.04,
|
533 |
+
"grad_norm": 0.36275872588157654,
|
534 |
+
"learning_rate": 0.001,
|
535 |
+
"loss": 0.5983,
|
536 |
+
"step": 130
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 9.18,
|
540 |
+
"grad_norm": 0.3596336245536804,
|
541 |
+
"learning_rate": 0.001,
|
542 |
+
"loss": 0.4615,
|
543 |
+
"step": 132
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 9.32,
|
547 |
+
"grad_norm": 0.37557095289230347,
|
548 |
+
"learning_rate": 0.001,
|
549 |
+
"loss": 0.4756,
|
550 |
+
"step": 134
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 9.46,
|
554 |
+
"grad_norm": 0.39249515533447266,
|
555 |
+
"learning_rate": 0.001,
|
556 |
+
"loss": 0.4546,
|
557 |
+
"step": 136
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 9.6,
|
561 |
+
"grad_norm": 0.3760348856449127,
|
562 |
+
"learning_rate": 0.001,
|
563 |
+
"loss": 0.4792,
|
564 |
+
"step": 138
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 9.74,
|
568 |
+
"grad_norm": 0.3137217164039612,
|
569 |
+
"learning_rate": 0.001,
|
570 |
+
"loss": 0.4674,
|
571 |
+
"step": 140
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 9.88,
|
575 |
+
"grad_norm": 0.40549594163894653,
|
576 |
+
"learning_rate": 0.001,
|
577 |
+
"loss": 0.4939,
|
578 |
+
"step": 142
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 9.95,
|
582 |
+
"eval_loss": 3.5685999393463135,
|
583 |
+
"eval_runtime": 81.5958,
|
584 |
+
"eval_samples_per_second": 4.142,
|
585 |
+
"eval_steps_per_second": 0.527,
|
586 |
+
"step": 143
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 10.02,
|
590 |
+
"grad_norm": 0.4173819422721863,
|
591 |
+
"learning_rate": 0.001,
|
592 |
+
"loss": 0.5055,
|
593 |
+
"step": 144
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 10.16,
|
597 |
+
"grad_norm": 0.280066579580307,
|
598 |
+
"learning_rate": 0.001,
|
599 |
+
"loss": 0.3353,
|
600 |
+
"step": 146
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 10.3,
|
604 |
+
"grad_norm": 0.30166783928871155,
|
605 |
+
"learning_rate": 0.001,
|
606 |
+
"loss": 0.351,
|
607 |
+
"step": 148
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 10.43,
|
611 |
+
"grad_norm": 0.28606531023979187,
|
612 |
+
"learning_rate": 0.001,
|
613 |
+
"loss": 0.3834,
|
614 |
+
"step": 150
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 10.57,
|
618 |
+
"grad_norm": 0.2835221588611603,
|
619 |
+
"learning_rate": 0.001,
|
620 |
+
"loss": 0.3718,
|
621 |
+
"step": 152
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 10.71,
|
625 |
+
"grad_norm": 0.3148328959941864,
|
626 |
+
"learning_rate": 0.001,
|
627 |
+
"loss": 0.3692,
|
628 |
+
"step": 154
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 10.85,
|
632 |
+
"grad_norm": 0.3502219021320343,
|
633 |
+
"learning_rate": 0.001,
|
634 |
+
"loss": 0.38,
|
635 |
+
"step": 156
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 10.99,
|
639 |
+
"grad_norm": 0.3344653844833374,
|
640 |
+
"learning_rate": 0.001,
|
641 |
+
"loss": 0.376,
|
642 |
+
"step": 158
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 10.99,
|
646 |
+
"eval_loss": 3.425977945327759,
|
647 |
+
"eval_runtime": 81.532,
|
648 |
+
"eval_samples_per_second": 4.146,
|
649 |
+
"eval_steps_per_second": 0.527,
|
650 |
+
"step": 158
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 11.13,
|
654 |
+
"grad_norm": 0.32332998514175415,
|
655 |
+
"learning_rate": 0.001,
|
656 |
+
"loss": 0.2827,
|
657 |
+
"step": 160
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 11.27,
|
661 |
+
"grad_norm": 0.35432103276252747,
|
662 |
+
"learning_rate": 0.001,
|
663 |
+
"loss": 0.2966,
|
664 |
+
"step": 162
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 11.41,
|
668 |
+
"grad_norm": 0.29032111167907715,
|
669 |
+
"learning_rate": 0.001,
|
670 |
+
"loss": 0.2954,
|
671 |
+
"step": 164
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 11.55,
|
675 |
+
"grad_norm": 0.3170696198940277,
|
676 |
+
"learning_rate": 0.001,
|
677 |
+
"loss": 0.2738,
|
678 |
+
"step": 166
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 11.69,
|
682 |
+
"grad_norm": 0.3339516520500183,
|
683 |
+
"learning_rate": 0.001,
|
684 |
+
"loss": 0.2786,
|
685 |
+
"step": 168
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 11.83,
|
689 |
+
"grad_norm": 0.3187398910522461,
|
690 |
+
"learning_rate": 0.001,
|
691 |
+
"loss": 0.315,
|
692 |
+
"step": 170
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 11.97,
|
696 |
+
"grad_norm": 0.2842791974544525,
|
697 |
+
"learning_rate": 0.001,
|
698 |
+
"loss": 0.313,
|
699 |
+
"step": 172
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 11.97,
|
703 |
+
"eval_loss": 3.9301607608795166,
|
704 |
+
"eval_runtime": 81.5908,
|
705 |
+
"eval_samples_per_second": 4.143,
|
706 |
+
"eval_steps_per_second": 0.527,
|
707 |
+
"step": 172
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 12.1,
|
711 |
+
"grad_norm": 0.2522130012512207,
|
712 |
+
"learning_rate": 0.001,
|
713 |
+
"loss": 0.2504,
|
714 |
+
"step": 174
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 12.24,
|
718 |
+
"grad_norm": 0.23560765385627747,
|
719 |
+
"learning_rate": 0.001,
|
720 |
+
"loss": 0.212,
|
721 |
+
"step": 176
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 12.38,
|
725 |
+
"grad_norm": 0.24140460789203644,
|
726 |
+
"learning_rate": 0.001,
|
727 |
+
"loss": 0.2156,
|
728 |
+
"step": 178
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 12.52,
|
732 |
+
"grad_norm": 0.2790488302707672,
|
733 |
+
"learning_rate": 0.001,
|
734 |
+
"loss": 0.2474,
|
735 |
+
"step": 180
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 12.66,
|
739 |
+
"grad_norm": 0.2879179120063782,
|
740 |
+
"learning_rate": 0.001,
|
741 |
+
"loss": 0.2486,
|
742 |
+
"step": 182
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 12.8,
|
746 |
+
"grad_norm": 0.3126004934310913,
|
747 |
+
"learning_rate": 0.001,
|
748 |
+
"loss": 0.2499,
|
749 |
+
"step": 184
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 12.94,
|
753 |
+
"grad_norm": 0.3011338412761688,
|
754 |
+
"learning_rate": 0.001,
|
755 |
+
"loss": 0.2562,
|
756 |
+
"step": 186
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 12.94,
|
760 |
+
"eval_loss": 3.743312120437622,
|
761 |
+
"eval_runtime": 81.5885,
|
762 |
+
"eval_samples_per_second": 4.143,
|
763 |
+
"eval_steps_per_second": 0.527,
|
764 |
+
"step": 186
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 13.08,
|
768 |
+
"grad_norm": 0.24417123198509216,
|
769 |
+
"learning_rate": 0.001,
|
770 |
+
"loss": 0.2166,
|
771 |
+
"step": 188
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 13.22,
|
775 |
+
"grad_norm": 0.21955759823322296,
|
776 |
+
"learning_rate": 0.001,
|
777 |
+
"loss": 0.1767,
|
778 |
+
"step": 190
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 13.36,
|
782 |
+
"grad_norm": 0.20537225902080536,
|
783 |
+
"learning_rate": 0.001,
|
784 |
+
"loss": 0.1715,
|
785 |
+
"step": 192
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 13.5,
|
789 |
+
"grad_norm": 0.21406413614749908,
|
790 |
+
"learning_rate": 0.001,
|
791 |
+
"loss": 0.1857,
|
792 |
+
"step": 194
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 13.63,
|
796 |
+
"grad_norm": 0.21677067875862122,
|
797 |
+
"learning_rate": 0.001,
|
798 |
+
"loss": 0.1881,
|
799 |
+
"step": 196
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 13.77,
|
803 |
+
"grad_norm": 0.2592070996761322,
|
804 |
+
"learning_rate": 0.001,
|
805 |
+
"loss": 0.2022,
|
806 |
+
"step": 198
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 13.91,
|
810 |
+
"grad_norm": 0.23913638293743134,
|
811 |
+
"learning_rate": 0.001,
|
812 |
+
"loss": 0.2051,
|
813 |
+
"step": 200
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 13.98,
|
817 |
+
"eval_loss": 3.911346197128296,
|
818 |
+
"eval_runtime": 81.5425,
|
819 |
+
"eval_samples_per_second": 4.145,
|
820 |
+
"eval_steps_per_second": 0.527,
|
821 |
+
"step": 201
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 14.05,
|
825 |
+
"grad_norm": 0.19888806343078613,
|
826 |
+
"learning_rate": 0.001,
|
827 |
+
"loss": 0.1774,
|
828 |
+
"step": 202
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 14.19,
|
832 |
+
"grad_norm": 0.17841410636901855,
|
833 |
+
"learning_rate": 0.001,
|
834 |
+
"loss": 0.1409,
|
835 |
+
"step": 204
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 14.33,
|
839 |
+
"grad_norm": 0.22502601146697998,
|
840 |
+
"learning_rate": 0.001,
|
841 |
+
"loss": 0.1432,
|
842 |
+
"step": 206
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 14.47,
|
846 |
+
"grad_norm": 0.21947847306728363,
|
847 |
+
"learning_rate": 0.001,
|
848 |
+
"loss": 0.1487,
|
849 |
+
"step": 208
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 14.61,
|
853 |
+
"grad_norm": 0.20319664478302002,
|
854 |
+
"learning_rate": 0.001,
|
855 |
+
"loss": 0.1753,
|
856 |
+
"step": 210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 14.75,
|
860 |
+
"grad_norm": 0.20484566688537598,
|
861 |
+
"learning_rate": 0.001,
|
862 |
+
"loss": 0.1627,
|
863 |
+
"step": 212
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 14.89,
|
867 |
+
"grad_norm": 0.24411869049072266,
|
868 |
+
"learning_rate": 0.001,
|
869 |
+
"loss": 0.1802,
|
870 |
+
"step": 214
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 14.96,
|
874 |
+
"eval_loss": 4.0449538230896,
|
875 |
+
"eval_runtime": 81.5583,
|
876 |
+
"eval_samples_per_second": 4.144,
|
877 |
+
"eval_steps_per_second": 0.527,
|
878 |
+
"step": 215
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 15.03,
|
882 |
+
"grad_norm": 0.23610645532608032,
|
883 |
+
"learning_rate": 0.001,
|
884 |
+
"loss": 0.1881,
|
885 |
+
"step": 216
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 15.17,
|
889 |
+
"grad_norm": 0.17829175293445587,
|
890 |
+
"learning_rate": 0.001,
|
891 |
+
"loss": 0.123,
|
892 |
+
"step": 218
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 15.3,
|
896 |
+
"grad_norm": 0.178519606590271,
|
897 |
+
"learning_rate": 0.001,
|
898 |
+
"loss": 0.1166,
|
899 |
+
"step": 220
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 15.44,
|
903 |
+
"grad_norm": 0.19595706462860107,
|
904 |
+
"learning_rate": 0.001,
|
905 |
+
"loss": 0.135,
|
906 |
+
"step": 222
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 15.58,
|
910 |
+
"grad_norm": 0.20790521800518036,
|
911 |
+
"learning_rate": 0.001,
|
912 |
+
"loss": 0.1494,
|
913 |
+
"step": 224
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 15.72,
|
917 |
+
"grad_norm": 0.1832074671983719,
|
918 |
+
"learning_rate": 0.001,
|
919 |
+
"loss": 0.1488,
|
920 |
+
"step": 226
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 15.86,
|
924 |
+
"grad_norm": 0.17795896530151367,
|
925 |
+
"learning_rate": 0.001,
|
926 |
+
"loss": 0.1448,
|
927 |
+
"step": 228
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 16.0,
|
931 |
+
"grad_norm": 0.20039702951908112,
|
932 |
+
"learning_rate": 0.001,
|
933 |
+
"loss": 0.1378,
|
934 |
+
"step": 230
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 16.0,
|
938 |
+
"eval_loss": 3.939739227294922,
|
939 |
+
"eval_runtime": 81.6032,
|
940 |
+
"eval_samples_per_second": 4.142,
|
941 |
+
"eval_steps_per_second": 0.527,
|
942 |
+
"step": 230
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 16.14,
|
946 |
+
"grad_norm": 0.19622142612934113,
|
947 |
+
"learning_rate": 0.001,
|
948 |
+
"loss": 0.3001,
|
949 |
+
"step": 232
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 16.28,
|
953 |
+
"grad_norm": 19.05455207824707,
|
954 |
+
"learning_rate": 0.001,
|
955 |
+
"loss": 0.2708,
|
956 |
+
"step": 234
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 16.42,
|
960 |
+
"grad_norm": 29.798582077026367,
|
961 |
+
"learning_rate": 0.001,
|
962 |
+
"loss": 0.2154,
|
963 |
+
"step": 236
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 16.56,
|
967 |
+
"grad_norm": 8.835821151733398,
|
968 |
+
"learning_rate": 0.001,
|
969 |
+
"loss": 0.1348,
|
970 |
+
"step": 238
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 16.7,
|
974 |
+
"grad_norm": 0.3760863244533539,
|
975 |
+
"learning_rate": 0.001,
|
976 |
+
"loss": 0.6235,
|
977 |
+
"step": 240
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 16.83,
|
981 |
+
"grad_norm": 0.3473583459854126,
|
982 |
+
"learning_rate": 0.001,
|
983 |
+
"loss": 0.1445,
|
984 |
+
"step": 242
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 16.97,
|
988 |
+
"grad_norm": 0.4041793942451477,
|
989 |
+
"learning_rate": 0.001,
|
990 |
+
"loss": 0.1546,
|
991 |
+
"step": 244
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 16.97,
|
995 |
+
"eval_loss": 4.307888984680176,
|
996 |
+
"eval_runtime": 81.6566,
|
997 |
+
"eval_samples_per_second": 4.139,
|
998 |
+
"eval_steps_per_second": 0.527,
|
999 |
+
"step": 244
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 17.11,
|
1003 |
+
"grad_norm": 0.2586219906806946,
|
1004 |
+
"learning_rate": 0.001,
|
1005 |
+
"loss": 0.1188,
|
1006 |
+
"step": 246
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 17.25,
|
1010 |
+
"grad_norm": 0.4334220886230469,
|
1011 |
+
"learning_rate": 0.001,
|
1012 |
+
"loss": 0.1041,
|
1013 |
+
"step": 248
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 17.39,
|
1017 |
+
"grad_norm": 17.520734786987305,
|
1018 |
+
"learning_rate": 0.001,
|
1019 |
+
"loss": 0.1108,
|
1020 |
+
"step": 250
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 17.53,
|
1024 |
+
"grad_norm": 0.5943770408630371,
|
1025 |
+
"learning_rate": 0.001,
|
1026 |
+
"loss": 0.1146,
|
1027 |
+
"step": 252
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 17.67,
|
1031 |
+
"grad_norm": 0.4325353503227234,
|
1032 |
+
"learning_rate": 0.001,
|
1033 |
+
"loss": 0.1325,
|
1034 |
+
"step": 254
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 17.81,
|
1038 |
+
"grad_norm": 0.41412413120269775,
|
1039 |
+
"learning_rate": 0.001,
|
1040 |
+
"loss": 0.1491,
|
1041 |
+
"step": 256
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 17.95,
|
1045 |
+
"grad_norm": 0.19986829161643982,
|
1046 |
+
"learning_rate": 0.001,
|
1047 |
+
"loss": 0.1375,
|
1048 |
+
"step": 258
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 17.95,
|
1052 |
+
"eval_loss": 4.552526950836182,
|
1053 |
+
"eval_runtime": 81.6054,
|
1054 |
+
"eval_samples_per_second": 4.142,
|
1055 |
+
"eval_steps_per_second": 0.527,
|
1056 |
+
"step": 258
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 18.09,
|
1060 |
+
"grad_norm": 0.7999384999275208,
|
1061 |
+
"learning_rate": 0.001,
|
1062 |
+
"loss": 0.1155,
|
1063 |
+
"step": 260
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 18.23,
|
1067 |
+
"grad_norm": 0.17563021183013916,
|
1068 |
+
"learning_rate": 0.001,
|
1069 |
+
"loss": 0.1006,
|
1070 |
+
"step": 262
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 18.37,
|
1074 |
+
"grad_norm": 0.17661228775978088,
|
1075 |
+
"learning_rate": 0.001,
|
1076 |
+
"loss": 0.1062,
|
1077 |
+
"step": 264
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 18.5,
|
1081 |
+
"grad_norm": 0.17768113315105438,
|
1082 |
+
"learning_rate": 0.001,
|
1083 |
+
"loss": 0.1059,
|
1084 |
+
"step": 266
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 18.64,
|
1088 |
+
"grad_norm": 0.15412819385528564,
|
1089 |
+
"learning_rate": 0.001,
|
1090 |
+
"loss": 0.0981,
|
1091 |
+
"step": 268
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 18.78,
|
1095 |
+
"grad_norm": 0.1754271388053894,
|
1096 |
+
"learning_rate": 0.001,
|
1097 |
+
"loss": 0.0988,
|
1098 |
+
"step": 270
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 18.92,
|
1102 |
+
"grad_norm": 0.15736614167690277,
|
1103 |
+
"learning_rate": 0.001,
|
1104 |
+
"loss": 0.1005,
|
1105 |
+
"step": 272
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 18.99,
|
1109 |
+
"eval_loss": 4.900540828704834,
|
1110 |
+
"eval_runtime": 81.5789,
|
1111 |
+
"eval_samples_per_second": 4.143,
|
1112 |
+
"eval_steps_per_second": 0.527,
|
1113 |
+
"step": 273
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 19.06,
|
1117 |
+
"grad_norm": 0.1531495302915573,
|
1118 |
+
"learning_rate": 0.001,
|
1119 |
+
"loss": 0.0844,
|
1120 |
+
"step": 274
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 19.2,
|
1124 |
+
"grad_norm": 0.15237411856651306,
|
1125 |
+
"learning_rate": 0.001,
|
1126 |
+
"loss": 0.0752,
|
1127 |
+
"step": 276
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 19.34,
|
1131 |
+
"grad_norm": 0.1433786153793335,
|
1132 |
+
"learning_rate": 0.001,
|
1133 |
+
"loss": 0.0782,
|
1134 |
+
"step": 278
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 19.48,
|
1138 |
+
"grad_norm": 0.1296713650226593,
|
1139 |
+
"learning_rate": 0.001,
|
1140 |
+
"loss": 0.0808,
|
1141 |
+
"step": 280
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 19.48,
|
1145 |
+
"eval_loss": 4.81671667098999,
|
1146 |
+
"eval_runtime": 81.4692,
|
1147 |
+
"eval_samples_per_second": 4.149,
|
1148 |
+
"eval_steps_per_second": 0.528,
|
1149 |
+
"step": 280
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 19.48,
|
1153 |
+
"step": 280,
|
1154 |
+
"total_flos": 4.895208054457934e+18,
|
1155 |
+
"train_loss": 0.8494854368801628,
|
1156 |
+
"train_runtime": 68771.7044,
|
1157 |
+
"train_samples_per_second": 1.068,
|
1158 |
+
"train_steps_per_second": 0.004
|
1159 |
+
}
|
1160 |
+
],
|
1161 |
+
"logging_steps": 2,
|
1162 |
+
"max_steps": 280,
|
1163 |
+
"num_input_tokens_seen": 0,
|
1164 |
+
"num_train_epochs": 20,
|
1165 |
+
"save_steps": 500,
|
1166 |
+
"total_flos": 4.895208054457934e+18,
|
1167 |
+
"train_batch_size": 8,
|
1168 |
+
"trial_name": null,
|
1169 |
+
"trial_params": null
|
1170 |
+
}
|