polejowska
commited on
Commit
•
9da173a
1
Parent(s):
f955480
End of training
Browse files- README.md +107 -0
- model.safetensors +1 -1
- trainer_state.json +728 -0
README.md
ADDED
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: polejowska/detr-r50-cd45rb-8ah-6l
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: detr-r50-finetuned-mist1-gb-8ah-6l
|
8 |
+
results: []
|
9 |
+
---
|
10 |
+
|
11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
+
should probably proofread and complete it, then remove this comment. -->
|
13 |
+
|
14 |
+
# detr-r50-finetuned-mist1-gb-8ah-6l
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [polejowska/detr-r50-cd45rb-8ah-6l](https://huggingface.co/polejowska/detr-r50-cd45rb-8ah-6l) on an unknown dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.9224
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 1e-05
|
38 |
+
- train_batch_size: 4
|
39 |
+
- eval_batch_size: 8
|
40 |
+
- seed: 42
|
41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
+
- lr_scheduler_type: linear
|
43 |
+
- num_epochs: 50
|
44 |
+
- mixed_precision_training: Native AMP
|
45 |
+
|
46 |
+
### Training results
|
47 |
+
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
49 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
50 |
+
| 2.5222 | 1.0 | 115 | 2.2563 |
|
51 |
+
| 2.3827 | 2.0 | 230 | 2.2211 |
|
52 |
+
| 2.3441 | 3.0 | 345 | 2.2602 |
|
53 |
+
| 2.2896 | 4.0 | 460 | 2.2359 |
|
54 |
+
| 2.2828 | 5.0 | 575 | 2.2431 |
|
55 |
+
| 2.2972 | 6.0 | 690 | 2.1629 |
|
56 |
+
| 2.3007 | 7.0 | 805 | 2.1545 |
|
57 |
+
| 2.2951 | 8.0 | 920 | 2.1153 |
|
58 |
+
| 2.2595 | 9.0 | 1035 | 2.1553 |
|
59 |
+
| 2.2327 | 10.0 | 1150 | 2.2060 |
|
60 |
+
| 2.2023 | 11.0 | 1265 | 2.0452 |
|
61 |
+
| 2.2117 | 12.0 | 1380 | 2.0879 |
|
62 |
+
| 2.1805 | 13.0 | 1495 | 2.1812 |
|
63 |
+
| 2.1344 | 14.0 | 1610 | 2.0992 |
|
64 |
+
| 2.1057 | 15.0 | 1725 | 1.9834 |
|
65 |
+
| 2.086 | 16.0 | 1840 | 1.9610 |
|
66 |
+
| 2.0591 | 17.0 | 1955 | 2.1007 |
|
67 |
+
| 2.053 | 18.0 | 2070 | 2.0561 |
|
68 |
+
| 2.0387 | 19.0 | 2185 | 2.0596 |
|
69 |
+
| 2.0161 | 20.0 | 2300 | 1.9885 |
|
70 |
+
| 2.0374 | 21.0 | 2415 | 2.0041 |
|
71 |
+
| 2.0233 | 22.0 | 2530 | 2.0103 |
|
72 |
+
| 2.0363 | 23.0 | 2645 | 2.0541 |
|
73 |
+
| 1.9837 | 24.0 | 2760 | 1.9924 |
|
74 |
+
| 1.9943 | 25.0 | 2875 | 2.0558 |
|
75 |
+
| 1.9846 | 26.0 | 2990 | 1.9874 |
|
76 |
+
| 1.9601 | 27.0 | 3105 | 1.9554 |
|
77 |
+
| 1.9837 | 28.0 | 3220 | 1.9989 |
|
78 |
+
| 1.9664 | 29.0 | 3335 | 1.9876 |
|
79 |
+
| 1.966 | 30.0 | 3450 | 1.9755 |
|
80 |
+
| 1.9226 | 31.0 | 3565 | 1.9357 |
|
81 |
+
| 1.9405 | 32.0 | 3680 | 1.9240 |
|
82 |
+
| 1.9035 | 33.0 | 3795 | 1.9411 |
|
83 |
+
| 1.8924 | 34.0 | 3910 | 1.9291 |
|
84 |
+
| 1.8801 | 35.0 | 4025 | 1.9661 |
|
85 |
+
| 1.8698 | 36.0 | 4140 | 1.9105 |
|
86 |
+
| 1.8572 | 37.0 | 4255 | 1.9448 |
|
87 |
+
| 1.8756 | 38.0 | 4370 | 1.9675 |
|
88 |
+
| 1.8593 | 39.0 | 4485 | 1.9365 |
|
89 |
+
| 1.8713 | 40.0 | 4600 | 1.9383 |
|
90 |
+
| 1.8436 | 41.0 | 4715 | 1.9671 |
|
91 |
+
| 1.83 | 42.0 | 4830 | 1.9527 |
|
92 |
+
| 1.857 | 43.0 | 4945 | 1.9448 |
|
93 |
+
| 1.8318 | 44.0 | 5060 | 1.9366 |
|
94 |
+
| 1.8177 | 45.0 | 5175 | 1.9389 |
|
95 |
+
| 1.8034 | 46.0 | 5290 | 1.9050 |
|
96 |
+
| 1.8226 | 47.0 | 5405 | 1.9226 |
|
97 |
+
| 1.818 | 48.0 | 5520 | 1.9150 |
|
98 |
+
| 1.8148 | 49.0 | 5635 | 1.9169 |
|
99 |
+
| 1.7984 | 50.0 | 5750 | 1.9224 |
|
100 |
+
|
101 |
+
|
102 |
+
### Framework versions
|
103 |
+
|
104 |
+
- Transformers 4.35.0
|
105 |
+
- Pytorch 2.0.0
|
106 |
+
- Datasets 2.1.0
|
107 |
+
- Tokenizers 0.14.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 166494824
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:16625071c6b40408b117b4bd0e310612000d962e8200411ff8bf1eaf82875e69
|
3 |
size 166494824
|
trainer_state.json
ADDED
@@ -0,0 +1,728 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.905003309249878,
|
3 |
+
"best_model_checkpoint": "detr-r50-finetuned-mist1-gb-8ah-6l/checkpoint-5290",
|
4 |
+
"epoch": 50.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 5750,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"learning_rate": 9.812173913043479e-06,
|
14 |
+
"loss": 2.5222,
|
15 |
+
"step": 115
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"eval_loss": 2.2562553882598877,
|
20 |
+
"eval_runtime": 5.7546,
|
21 |
+
"eval_samples_per_second": 6.951,
|
22 |
+
"eval_steps_per_second": 0.869,
|
23 |
+
"step": 115
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 2.0,
|
27 |
+
"learning_rate": 9.612173913043479e-06,
|
28 |
+
"loss": 2.3827,
|
29 |
+
"step": 230
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"eval_loss": 2.2210755348205566,
|
34 |
+
"eval_runtime": 5.7395,
|
35 |
+
"eval_samples_per_second": 6.969,
|
36 |
+
"eval_steps_per_second": 0.871,
|
37 |
+
"step": 230
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 3.0,
|
41 |
+
"learning_rate": 9.412173913043479e-06,
|
42 |
+
"loss": 2.3441,
|
43 |
+
"step": 345
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 3.0,
|
47 |
+
"eval_loss": 2.2602248191833496,
|
48 |
+
"eval_runtime": 5.7242,
|
49 |
+
"eval_samples_per_second": 6.988,
|
50 |
+
"eval_steps_per_second": 0.873,
|
51 |
+
"step": 345
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 4.0,
|
55 |
+
"learning_rate": 9.21217391304348e-06,
|
56 |
+
"loss": 2.2896,
|
57 |
+
"step": 460
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.0,
|
61 |
+
"eval_loss": 2.2359230518341064,
|
62 |
+
"eval_runtime": 5.684,
|
63 |
+
"eval_samples_per_second": 7.037,
|
64 |
+
"eval_steps_per_second": 0.88,
|
65 |
+
"step": 460
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 5.0,
|
69 |
+
"learning_rate": 9.013913043478261e-06,
|
70 |
+
"loss": 2.2828,
|
71 |
+
"step": 575
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 5.0,
|
75 |
+
"eval_loss": 2.2430644035339355,
|
76 |
+
"eval_runtime": 5.7198,
|
77 |
+
"eval_samples_per_second": 6.993,
|
78 |
+
"eval_steps_per_second": 0.874,
|
79 |
+
"step": 575
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 6.0,
|
83 |
+
"learning_rate": 8.813913043478261e-06,
|
84 |
+
"loss": 2.2972,
|
85 |
+
"step": 690
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 6.0,
|
89 |
+
"eval_loss": 2.1629228591918945,
|
90 |
+
"eval_runtime": 5.6906,
|
91 |
+
"eval_samples_per_second": 7.029,
|
92 |
+
"eval_steps_per_second": 0.879,
|
93 |
+
"step": 690
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 7.0,
|
97 |
+
"learning_rate": 8.615652173913043e-06,
|
98 |
+
"loss": 2.3007,
|
99 |
+
"step": 805
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 7.0,
|
103 |
+
"eval_loss": 2.1544721126556396,
|
104 |
+
"eval_runtime": 5.7423,
|
105 |
+
"eval_samples_per_second": 6.966,
|
106 |
+
"eval_steps_per_second": 0.871,
|
107 |
+
"step": 805
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 8.0,
|
111 |
+
"learning_rate": 8.417391304347827e-06,
|
112 |
+
"loss": 2.2951,
|
113 |
+
"step": 920
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 8.0,
|
117 |
+
"eval_loss": 2.115345001220703,
|
118 |
+
"eval_runtime": 5.7472,
|
119 |
+
"eval_samples_per_second": 6.96,
|
120 |
+
"eval_steps_per_second": 0.87,
|
121 |
+
"step": 920
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 9.0,
|
125 |
+
"learning_rate": 8.217391304347827e-06,
|
126 |
+
"loss": 2.2595,
|
127 |
+
"step": 1035
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 9.0,
|
131 |
+
"eval_loss": 2.1553213596343994,
|
132 |
+
"eval_runtime": 5.6778,
|
133 |
+
"eval_samples_per_second": 7.045,
|
134 |
+
"eval_steps_per_second": 0.881,
|
135 |
+
"step": 1035
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 10.0,
|
139 |
+
"learning_rate": 8.017391304347828e-06,
|
140 |
+
"loss": 2.2327,
|
141 |
+
"step": 1150
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 10.0,
|
145 |
+
"eval_loss": 2.205960750579834,
|
146 |
+
"eval_runtime": 5.7224,
|
147 |
+
"eval_samples_per_second": 6.99,
|
148 |
+
"eval_steps_per_second": 0.874,
|
149 |
+
"step": 1150
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 11.0,
|
153 |
+
"learning_rate": 7.817391304347826e-06,
|
154 |
+
"loss": 2.2023,
|
155 |
+
"step": 1265
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 11.0,
|
159 |
+
"eval_loss": 2.045210599899292,
|
160 |
+
"eval_runtime": 5.6947,
|
161 |
+
"eval_samples_per_second": 7.024,
|
162 |
+
"eval_steps_per_second": 0.878,
|
163 |
+
"step": 1265
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 12.0,
|
167 |
+
"learning_rate": 7.617391304347826e-06,
|
168 |
+
"loss": 2.2117,
|
169 |
+
"step": 1380
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 12.0,
|
173 |
+
"eval_loss": 2.087853193283081,
|
174 |
+
"eval_runtime": 5.7626,
|
175 |
+
"eval_samples_per_second": 6.941,
|
176 |
+
"eval_steps_per_second": 0.868,
|
177 |
+
"step": 1380
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 13.0,
|
181 |
+
"learning_rate": 7.417391304347827e-06,
|
182 |
+
"loss": 2.1805,
|
183 |
+
"step": 1495
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 13.0,
|
187 |
+
"eval_loss": 2.1812005043029785,
|
188 |
+
"eval_runtime": 5.7549,
|
189 |
+
"eval_samples_per_second": 6.951,
|
190 |
+
"eval_steps_per_second": 0.869,
|
191 |
+
"step": 1495
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 14.0,
|
195 |
+
"learning_rate": 7.217391304347827e-06,
|
196 |
+
"loss": 2.1344,
|
197 |
+
"step": 1610
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 14.0,
|
201 |
+
"eval_loss": 2.0991523265838623,
|
202 |
+
"eval_runtime": 5.7805,
|
203 |
+
"eval_samples_per_second": 6.92,
|
204 |
+
"eval_steps_per_second": 0.865,
|
205 |
+
"step": 1610
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 15.0,
|
209 |
+
"learning_rate": 7.017391304347827e-06,
|
210 |
+
"loss": 2.1057,
|
211 |
+
"step": 1725
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 15.0,
|
215 |
+
"eval_loss": 1.983435869216919,
|
216 |
+
"eval_runtime": 5.7113,
|
217 |
+
"eval_samples_per_second": 7.004,
|
218 |
+
"eval_steps_per_second": 0.875,
|
219 |
+
"step": 1725
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 16.0,
|
223 |
+
"learning_rate": 6.817391304347826e-06,
|
224 |
+
"loss": 2.086,
|
225 |
+
"step": 1840
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 16.0,
|
229 |
+
"eval_loss": 1.9609792232513428,
|
230 |
+
"eval_runtime": 5.7575,
|
231 |
+
"eval_samples_per_second": 6.947,
|
232 |
+
"eval_steps_per_second": 0.868,
|
233 |
+
"step": 1840
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 17.0,
|
237 |
+
"learning_rate": 6.617391304347827e-06,
|
238 |
+
"loss": 2.0591,
|
239 |
+
"step": 1955
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 17.0,
|
243 |
+
"eval_loss": 2.100736141204834,
|
244 |
+
"eval_runtime": 5.7633,
|
245 |
+
"eval_samples_per_second": 6.94,
|
246 |
+
"eval_steps_per_second": 0.868,
|
247 |
+
"step": 1955
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 18.0,
|
251 |
+
"learning_rate": 6.417391304347827e-06,
|
252 |
+
"loss": 2.053,
|
253 |
+
"step": 2070
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 18.0,
|
257 |
+
"eval_loss": 2.056126832962036,
|
258 |
+
"eval_runtime": 5.7709,
|
259 |
+
"eval_samples_per_second": 6.931,
|
260 |
+
"eval_steps_per_second": 0.866,
|
261 |
+
"step": 2070
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 19.0,
|
265 |
+
"learning_rate": 6.217391304347826e-06,
|
266 |
+
"loss": 2.0387,
|
267 |
+
"step": 2185
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 19.0,
|
271 |
+
"eval_loss": 2.0596375465393066,
|
272 |
+
"eval_runtime": 5.7884,
|
273 |
+
"eval_samples_per_second": 6.91,
|
274 |
+
"eval_steps_per_second": 0.864,
|
275 |
+
"step": 2185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 20.0,
|
279 |
+
"learning_rate": 6.0173913043478264e-06,
|
280 |
+
"loss": 2.0161,
|
281 |
+
"step": 2300
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 20.0,
|
285 |
+
"eval_loss": 1.9885139465332031,
|
286 |
+
"eval_runtime": 5.7465,
|
287 |
+
"eval_samples_per_second": 6.961,
|
288 |
+
"eval_steps_per_second": 0.87,
|
289 |
+
"step": 2300
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 21.0,
|
293 |
+
"learning_rate": 5.817391304347827e-06,
|
294 |
+
"loss": 2.0374,
|
295 |
+
"step": 2415
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 21.0,
|
299 |
+
"eval_loss": 2.0041000843048096,
|
300 |
+
"eval_runtime": 5.7421,
|
301 |
+
"eval_samples_per_second": 6.966,
|
302 |
+
"eval_steps_per_second": 0.871,
|
303 |
+
"step": 2415
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 22.0,
|
307 |
+
"learning_rate": 5.617391304347827e-06,
|
308 |
+
"loss": 2.0233,
|
309 |
+
"step": 2530
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 22.0,
|
313 |
+
"eval_loss": 2.0102856159210205,
|
314 |
+
"eval_runtime": 5.7047,
|
315 |
+
"eval_samples_per_second": 7.012,
|
316 |
+
"eval_steps_per_second": 0.876,
|
317 |
+
"step": 2530
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 23.0,
|
321 |
+
"learning_rate": 5.417391304347826e-06,
|
322 |
+
"loss": 2.0363,
|
323 |
+
"step": 2645
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 23.0,
|
327 |
+
"eval_loss": 2.0540664196014404,
|
328 |
+
"eval_runtime": 5.7156,
|
329 |
+
"eval_samples_per_second": 6.998,
|
330 |
+
"eval_steps_per_second": 0.875,
|
331 |
+
"step": 2645
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 24.0,
|
335 |
+
"learning_rate": 5.2173913043478265e-06,
|
336 |
+
"loss": 1.9837,
|
337 |
+
"step": 2760
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 24.0,
|
341 |
+
"eval_loss": 1.9924190044403076,
|
342 |
+
"eval_runtime": 5.6809,
|
343 |
+
"eval_samples_per_second": 7.041,
|
344 |
+
"eval_steps_per_second": 0.88,
|
345 |
+
"step": 2760
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 25.0,
|
349 |
+
"learning_rate": 5.017391304347826e-06,
|
350 |
+
"loss": 1.9943,
|
351 |
+
"step": 2875
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 25.0,
|
355 |
+
"eval_loss": 2.0557620525360107,
|
356 |
+
"eval_runtime": 5.7087,
|
357 |
+
"eval_samples_per_second": 7.007,
|
358 |
+
"eval_steps_per_second": 0.876,
|
359 |
+
"step": 2875
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 26.0,
|
363 |
+
"learning_rate": 4.817391304347827e-06,
|
364 |
+
"loss": 1.9846,
|
365 |
+
"step": 2990
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 26.0,
|
369 |
+
"eval_loss": 1.9873688220977783,
|
370 |
+
"eval_runtime": 5.6682,
|
371 |
+
"eval_samples_per_second": 7.057,
|
372 |
+
"eval_steps_per_second": 0.882,
|
373 |
+
"step": 2990
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 27.0,
|
377 |
+
"learning_rate": 4.617391304347826e-06,
|
378 |
+
"loss": 1.9601,
|
379 |
+
"step": 3105
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 27.0,
|
383 |
+
"eval_loss": 1.9554007053375244,
|
384 |
+
"eval_runtime": 5.7979,
|
385 |
+
"eval_samples_per_second": 6.899,
|
386 |
+
"eval_steps_per_second": 0.862,
|
387 |
+
"step": 3105
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 28.0,
|
391 |
+
"learning_rate": 4.4173913043478265e-06,
|
392 |
+
"loss": 1.9837,
|
393 |
+
"step": 3220
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 28.0,
|
397 |
+
"eval_loss": 1.9988619089126587,
|
398 |
+
"eval_runtime": 5.7796,
|
399 |
+
"eval_samples_per_second": 6.921,
|
400 |
+
"eval_steps_per_second": 0.865,
|
401 |
+
"step": 3220
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 29.0,
|
405 |
+
"learning_rate": 4.217391304347827e-06,
|
406 |
+
"loss": 1.9664,
|
407 |
+
"step": 3335
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 29.0,
|
411 |
+
"eval_loss": 1.9875919818878174,
|
412 |
+
"eval_runtime": 5.7433,
|
413 |
+
"eval_samples_per_second": 6.965,
|
414 |
+
"eval_steps_per_second": 0.871,
|
415 |
+
"step": 3335
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 30.0,
|
419 |
+
"learning_rate": 4.017391304347826e-06,
|
420 |
+
"loss": 1.966,
|
421 |
+
"step": 3450
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 30.0,
|
425 |
+
"eval_loss": 1.9754610061645508,
|
426 |
+
"eval_runtime": 5.8653,
|
427 |
+
"eval_samples_per_second": 6.82,
|
428 |
+
"eval_steps_per_second": 0.852,
|
429 |
+
"step": 3450
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 31.0,
|
433 |
+
"learning_rate": 3.819130434782609e-06,
|
434 |
+
"loss": 1.9226,
|
435 |
+
"step": 3565
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 31.0,
|
439 |
+
"eval_loss": 1.9357328414916992,
|
440 |
+
"eval_runtime": 5.765,
|
441 |
+
"eval_samples_per_second": 6.938,
|
442 |
+
"eval_steps_per_second": 0.867,
|
443 |
+
"step": 3565
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 32.0,
|
447 |
+
"learning_rate": 3.6191304347826088e-06,
|
448 |
+
"loss": 1.9405,
|
449 |
+
"step": 3680
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 32.0,
|
453 |
+
"eval_loss": 1.9239734411239624,
|
454 |
+
"eval_runtime": 5.8194,
|
455 |
+
"eval_samples_per_second": 6.874,
|
456 |
+
"eval_steps_per_second": 0.859,
|
457 |
+
"step": 3680
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 33.0,
|
461 |
+
"learning_rate": 3.4191304347826086e-06,
|
462 |
+
"loss": 1.9035,
|
463 |
+
"step": 3795
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 33.0,
|
467 |
+
"eval_loss": 1.9410585165023804,
|
468 |
+
"eval_runtime": 5.8097,
|
469 |
+
"eval_samples_per_second": 6.885,
|
470 |
+
"eval_steps_per_second": 0.861,
|
471 |
+
"step": 3795
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 34.0,
|
475 |
+
"learning_rate": 3.219130434782609e-06,
|
476 |
+
"loss": 1.8924,
|
477 |
+
"step": 3910
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 34.0,
|
481 |
+
"eval_loss": 1.9291362762451172,
|
482 |
+
"eval_runtime": 5.8014,
|
483 |
+
"eval_samples_per_second": 6.895,
|
484 |
+
"eval_steps_per_second": 0.862,
|
485 |
+
"step": 3910
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 35.0,
|
489 |
+
"learning_rate": 3.019130434782609e-06,
|
490 |
+
"loss": 1.8801,
|
491 |
+
"step": 4025
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 35.0,
|
495 |
+
"eval_loss": 1.9660656452178955,
|
496 |
+
"eval_runtime": 5.7747,
|
497 |
+
"eval_samples_per_second": 6.927,
|
498 |
+
"eval_steps_per_second": 0.866,
|
499 |
+
"step": 4025
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 36.0,
|
503 |
+
"learning_rate": 2.819130434782609e-06,
|
504 |
+
"loss": 1.8698,
|
505 |
+
"step": 4140
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 36.0,
|
509 |
+
"eval_loss": 1.9104881286621094,
|
510 |
+
"eval_runtime": 5.7592,
|
511 |
+
"eval_samples_per_second": 6.945,
|
512 |
+
"eval_steps_per_second": 0.868,
|
513 |
+
"step": 4140
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 37.0,
|
517 |
+
"learning_rate": 2.619130434782609e-06,
|
518 |
+
"loss": 1.8572,
|
519 |
+
"step": 4255
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 37.0,
|
523 |
+
"eval_loss": 1.944820761680603,
|
524 |
+
"eval_runtime": 5.7796,
|
525 |
+
"eval_samples_per_second": 6.921,
|
526 |
+
"eval_steps_per_second": 0.865,
|
527 |
+
"step": 4255
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 38.0,
|
531 |
+
"learning_rate": 2.419130434782609e-06,
|
532 |
+
"loss": 1.8756,
|
533 |
+
"step": 4370
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 38.0,
|
537 |
+
"eval_loss": 1.9674819707870483,
|
538 |
+
"eval_runtime": 5.7301,
|
539 |
+
"eval_samples_per_second": 6.981,
|
540 |
+
"eval_steps_per_second": 0.873,
|
541 |
+
"step": 4370
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 39.0,
|
545 |
+
"learning_rate": 2.219130434782609e-06,
|
546 |
+
"loss": 1.8593,
|
547 |
+
"step": 4485
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 39.0,
|
551 |
+
"eval_loss": 1.9364864826202393,
|
552 |
+
"eval_runtime": 5.8116,
|
553 |
+
"eval_samples_per_second": 6.883,
|
554 |
+
"eval_steps_per_second": 0.86,
|
555 |
+
"step": 4485
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 40.0,
|
559 |
+
"learning_rate": 2.019130434782609e-06,
|
560 |
+
"loss": 1.8713,
|
561 |
+
"step": 4600
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 40.0,
|
565 |
+
"eval_loss": 1.9382976293563843,
|
566 |
+
"eval_runtime": 5.7132,
|
567 |
+
"eval_samples_per_second": 7.001,
|
568 |
+
"eval_steps_per_second": 0.875,
|
569 |
+
"step": 4600
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 41.0,
|
573 |
+
"learning_rate": 1.8191304347826088e-06,
|
574 |
+
"loss": 1.8436,
|
575 |
+
"step": 4715
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 41.0,
|
579 |
+
"eval_loss": 1.967057466506958,
|
580 |
+
"eval_runtime": 5.7284,
|
581 |
+
"eval_samples_per_second": 6.983,
|
582 |
+
"eval_steps_per_second": 0.873,
|
583 |
+
"step": 4715
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 42.0,
|
587 |
+
"learning_rate": 1.6191304347826088e-06,
|
588 |
+
"loss": 1.83,
|
589 |
+
"step": 4830
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 42.0,
|
593 |
+
"eval_loss": 1.9526548385620117,
|
594 |
+
"eval_runtime": 5.6918,
|
595 |
+
"eval_samples_per_second": 7.028,
|
596 |
+
"eval_steps_per_second": 0.878,
|
597 |
+
"step": 4830
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 43.0,
|
601 |
+
"learning_rate": 1.4191304347826089e-06,
|
602 |
+
"loss": 1.857,
|
603 |
+
"step": 4945
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 43.0,
|
607 |
+
"eval_loss": 1.944758653640747,
|
608 |
+
"eval_runtime": 5.7519,
|
609 |
+
"eval_samples_per_second": 6.954,
|
610 |
+
"eval_steps_per_second": 0.869,
|
611 |
+
"step": 4945
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 44.0,
|
615 |
+
"learning_rate": 1.2191304347826089e-06,
|
616 |
+
"loss": 1.8318,
|
617 |
+
"step": 5060
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 44.0,
|
621 |
+
"eval_loss": 1.9366220235824585,
|
622 |
+
"eval_runtime": 5.7436,
|
623 |
+
"eval_samples_per_second": 6.964,
|
624 |
+
"eval_steps_per_second": 0.871,
|
625 |
+
"step": 5060
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 45.0,
|
629 |
+
"learning_rate": 1.0191304347826089e-06,
|
630 |
+
"loss": 1.8177,
|
631 |
+
"step": 5175
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 45.0,
|
635 |
+
"eval_loss": 1.9388927221298218,
|
636 |
+
"eval_runtime": 5.8021,
|
637 |
+
"eval_samples_per_second": 6.894,
|
638 |
+
"eval_steps_per_second": 0.862,
|
639 |
+
"step": 5175
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 46.0,
|
643 |
+
"learning_rate": 8.191304347826088e-07,
|
644 |
+
"loss": 1.8034,
|
645 |
+
"step": 5290
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 46.0,
|
649 |
+
"eval_loss": 1.905003309249878,
|
650 |
+
"eval_runtime": 5.7813,
|
651 |
+
"eval_samples_per_second": 6.919,
|
652 |
+
"eval_steps_per_second": 0.865,
|
653 |
+
"step": 5290
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 47.0,
|
657 |
+
"learning_rate": 6.191304347826088e-07,
|
658 |
+
"loss": 1.8226,
|
659 |
+
"step": 5405
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 47.0,
|
663 |
+
"eval_loss": 1.9226171970367432,
|
664 |
+
"eval_runtime": 5.8014,
|
665 |
+
"eval_samples_per_second": 6.895,
|
666 |
+
"eval_steps_per_second": 0.862,
|
667 |
+
"step": 5405
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 48.0,
|
671 |
+
"learning_rate": 4.1913043478260874e-07,
|
672 |
+
"loss": 1.818,
|
673 |
+
"step": 5520
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 48.0,
|
677 |
+
"eval_loss": 1.9150111675262451,
|
678 |
+
"eval_runtime": 5.7701,
|
679 |
+
"eval_samples_per_second": 6.932,
|
680 |
+
"eval_steps_per_second": 0.867,
|
681 |
+
"step": 5520
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 49.0,
|
685 |
+
"learning_rate": 2.191304347826087e-07,
|
686 |
+
"loss": 1.8148,
|
687 |
+
"step": 5635
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 49.0,
|
691 |
+
"eval_loss": 1.9168732166290283,
|
692 |
+
"eval_runtime": 5.7338,
|
693 |
+
"eval_samples_per_second": 6.976,
|
694 |
+
"eval_steps_per_second": 0.872,
|
695 |
+
"step": 5635
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 50.0,
|
699 |
+
"learning_rate": 1.91304347826087e-08,
|
700 |
+
"loss": 1.7984,
|
701 |
+
"step": 5750
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 50.0,
|
705 |
+
"eval_loss": 1.9223819971084595,
|
706 |
+
"eval_runtime": 5.7595,
|
707 |
+
"eval_samples_per_second": 6.945,
|
708 |
+
"eval_steps_per_second": 0.868,
|
709 |
+
"step": 5750
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 50.0,
|
713 |
+
"step": 5750,
|
714 |
+
"total_flos": 1.098949102848e+19,
|
715 |
+
"train_loss": 2.026795845363451,
|
716 |
+
"train_runtime": 4682.5898,
|
717 |
+
"train_samples_per_second": 4.912,
|
718 |
+
"train_steps_per_second": 1.228
|
719 |
+
}
|
720 |
+
],
|
721 |
+
"logging_steps": 500,
|
722 |
+
"max_steps": 5750,
|
723 |
+
"num_train_epochs": 50,
|
724 |
+
"save_steps": 500,
|
725 |
+
"total_flos": 1.098949102848e+19,
|
726 |
+
"trial_name": null,
|
727 |
+
"trial_params": null
|
728 |
+
}
|