khleeloo commited on
Commit
2d9529c
·
1 Parent(s): 0035e5a

Training in progress, epoch 1

Browse files
Files changed (22) hide show
  1. all_results.json +12 -0
  2. eval_results.json +7 -0
  3. pytorch_model.bin +1 -1
  4. runs/Oct18_20-30-39_EE4E077/events.out.tfevents.1697633256.EE4E077.354999.2 +3 -0
  5. runs/Oct18_20-56-45_EE4E077/events.out.tfevents.1697634289.EE4E077.354999.3 +3 -0
  6. runs/Oct20_23-31-07_EE4E077/1697815939.6338866/events.out.tfevents.1697815939.EE4E077.825718.1 +3 -0
  7. runs/Oct20_23-31-07_EE4E077/events.out.tfevents.1697815939.EE4E077.825718.0 +3 -0
  8. runs/Oct20_23-48-31_EE4E077/1697816917.4046345/events.out.tfevents.1697816917.EE4E077.825718.3 +3 -0
  9. runs/Oct20_23-48-31_EE4E077/events.out.tfevents.1697816917.EE4E077.825718.2 +3 -0
  10. runs/Oct20_23-58-02_EE4E077/1697817487.9031978/events.out.tfevents.1697817487.EE4E077.825718.5 +3 -0
  11. runs/Oct20_23-58-02_EE4E077/events.out.tfevents.1697817487.EE4E077.825718.4 +3 -0
  12. runs/Oct21_00-07-32_EE4E077/1697818095.455782/events.out.tfevents.1697818095.EE4E077.825718.7 +3 -0
  13. runs/Oct21_00-07-32_EE4E077/1697818577.9317267/events.out.tfevents.1697818577.EE4E077.825718.9 +3 -0
  14. runs/Oct21_00-07-32_EE4E077/1697819545.3757477/events.out.tfevents.1697819545.EE4E077.825718.11 +3 -0
  15. runs/Oct21_00-07-32_EE4E077/1697819819.5327485/events.out.tfevents.1697819819.EE4E077.825718.13 +3 -0
  16. runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697818095.EE4E077.825718.6 +3 -0
  17. runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697818577.EE4E077.825718.8 +3 -0
  18. runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697819545.EE4E077.825718.10 +3 -0
  19. runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697819819.EE4E077.825718.12 +3 -0
  20. train_results.json +7 -0
  21. trainer_state.json +1561 -0
  22. training_args.bin +1 -1
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.78505291005291,
4
+ "eval_loss": 0.6116965413093567,
5
+ "eval_runtime": 8.6246,
6
+ "eval_samples_per_second": 175.312,
7
+ "eval_steps_per_second": 11.015,
8
+ "train_loss": 0.3521563596071336,
9
+ "train_runtime": 855.1502,
10
+ "train_samples_per_second": 46.846,
11
+ "train_steps_per_second": 2.928
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "eval_accuracy": 0.78505291005291,
3
+ "eval_loss": 0.6116965413093567,
4
+ "eval_runtime": 8.6246,
5
+ "eval_samples_per_second": 175.312,
6
+ "eval_steps_per_second": 11.015
7
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ca349ed5f092cea2b7ac700cef0ce89d19669f9da8d65010ffc15a6c095aef72
3
  size 343284077
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36ae3a3be54b486513c0545ac296116960571e64b6f7784e2e3128aa656043bb
3
  size 343284077
runs/Oct18_20-30-39_EE4E077/events.out.tfevents.1697633256.EE4E077.354999.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d346423ed74a16b8fa996486a5a39d6ea21893989d58e22d2f4b0d21635a0f2c
3
+ size 411
runs/Oct18_20-56-45_EE4E077/events.out.tfevents.1697634289.EE4E077.354999.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2e29c66141cf622394f315b4e7eefb3d97cd03450cb0e342ac4c41f49d96912
3
+ size 346
runs/Oct20_23-31-07_EE4E077/1697815939.6338866/events.out.tfevents.1697815939.EE4E077.825718.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3daa5d5db05bc7a6556a94230a71db89cc5ca4bd798af8fa39e6731129a15a94
3
+ size 5913
runs/Oct20_23-31-07_EE4E077/events.out.tfevents.1697815939.EE4E077.825718.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:16fc0af7c53a01e596e32b940c348e7409f8cc9724d6e53fde7e22ddccce4f94
3
+ size 13851
runs/Oct20_23-48-31_EE4E077/1697816917.4046345/events.out.tfevents.1697816917.EE4E077.825718.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a755426dff7a1693683fab156a075fa74477c2a491a5722b5f34658f35c310ac
3
+ size 5913
runs/Oct20_23-48-31_EE4E077/events.out.tfevents.1697816917.EE4E077.825718.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35b4a81562d3b195121c18e363f2d81ce9b4318b451786609448c21b821175e6
3
+ size 13900
runs/Oct20_23-58-02_EE4E077/1697817487.9031978/events.out.tfevents.1697817487.EE4E077.825718.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef31a96b5996626b75cb688189cbc5f6cbe55303bc181348dfd0c0ea8e470454
3
+ size 5913
runs/Oct20_23-58-02_EE4E077/events.out.tfevents.1697817487.EE4E077.825718.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4492e50de039b059739140ead2e03d2069e2fba97caed4574b2891b13c15e6c
3
+ size 13900
runs/Oct21_00-07-32_EE4E077/1697818095.455782/events.out.tfevents.1697818095.EE4E077.825718.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:485a30fa90c781b0375bd2b14c2d2caef0e6697771a7e5972711033f32cfa1ca
3
+ size 5913
runs/Oct21_00-07-32_EE4E077/1697818577.9317267/events.out.tfevents.1697818577.EE4E077.825718.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e38185b41a5c814df7c65e2b4bf7eba2d47511da36851e703f743631d81e4647
3
+ size 5913
runs/Oct21_00-07-32_EE4E077/1697819545.3757477/events.out.tfevents.1697819545.EE4E077.825718.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9017676182dad99635cd62905ffba2abb0ac52d5bc2e5cc8c3326aeff3366484
3
+ size 5913
runs/Oct21_00-07-32_EE4E077/1697819819.5327485/events.out.tfevents.1697819819.EE4E077.825718.13 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79f2b0f4d4d3ebafc342de48424ef9bb535cfe02a41389094f8ba52d6ea1f2a6
3
+ size 5913
runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697818095.EE4E077.825718.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34ef466aba58b5e1d8300d6fe10dd2a2fe05868a86494079313dedfedcbdc713
3
+ size 13851
runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697818577.EE4E077.825718.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18abb38353de18110f7ee6516b4128ef06b12b50f8815a55a60ab7c380b67a65
3
+ size 14122
runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697819545.EE4E077.825718.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fedc3d79ea5188d65a913dc6b9fda990f4b6e737fb5ab797f36bd30734323b3d
3
+ size 13945
runs/Oct21_00-07-32_EE4E077/events.out.tfevents.1697819819.EE4E077.825718.12 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d09e8f5c65814a6dacbde927ac35d9cccbffb5a6d8953995546bc4e5c737d772
3
+ size 14216
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "train_loss": 0.3521563596071336,
4
+ "train_runtime": 855.1502,
5
+ "train_samples_per_second": 46.846,
6
+ "train_steps_per_second": 2.928
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1561 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8911917098445595,
3
+ "best_model_checkpoint": "./vit-base-skin/checkpoint-1252",
4
+ "epoch": 4.0,
5
+ "global_step": 2504,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 0.00019920127795527157,
13
+ "loss": 1.3607,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 0.00019840255591054313,
19
+ "loss": 1.0863,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.05,
24
+ "learning_rate": 0.00019760383386581472,
25
+ "loss": 0.8928,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 0.00019680511182108628,
31
+ "loss": 1.0954,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.08,
36
+ "learning_rate": 0.00019600638977635784,
37
+ "loss": 0.7844,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.1,
42
+ "learning_rate": 0.0001952076677316294,
43
+ "loss": 0.8456,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.11,
48
+ "learning_rate": 0.00019440894568690097,
49
+ "loss": 0.8827,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.13,
54
+ "learning_rate": 0.00019361022364217253,
55
+ "loss": 0.8214,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.14,
60
+ "learning_rate": 0.0001928115015974441,
61
+ "loss": 0.9063,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.16,
66
+ "learning_rate": 0.00019201277955271565,
67
+ "loss": 0.8956,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.18,
72
+ "learning_rate": 0.0001912140575079872,
73
+ "loss": 0.9014,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.19,
78
+ "learning_rate": 0.0001904153354632588,
79
+ "loss": 0.83,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.21,
84
+ "learning_rate": 0.00018961661341853036,
85
+ "loss": 0.7877,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.22,
90
+ "learning_rate": 0.00018881789137380192,
91
+ "loss": 0.6501,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.24,
96
+ "learning_rate": 0.00018801916932907348,
97
+ "loss": 0.8166,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.26,
102
+ "learning_rate": 0.00018722044728434505,
103
+ "loss": 0.8288,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.27,
108
+ "learning_rate": 0.00018642172523961663,
109
+ "loss": 0.662,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.29,
114
+ "learning_rate": 0.0001856230031948882,
115
+ "loss": 0.7948,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.3,
120
+ "learning_rate": 0.00018482428115015976,
121
+ "loss": 0.6333,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.32,
126
+ "learning_rate": 0.00018402555910543132,
127
+ "loss": 0.7313,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.34,
132
+ "learning_rate": 0.00018322683706070288,
133
+ "loss": 0.7396,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.35,
138
+ "learning_rate": 0.00018242811501597444,
139
+ "loss": 0.683,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.37,
144
+ "learning_rate": 0.000181629392971246,
145
+ "loss": 0.6597,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.38,
150
+ "learning_rate": 0.00018083067092651756,
151
+ "loss": 0.6867,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.4,
156
+ "learning_rate": 0.00018003194888178913,
157
+ "loss": 0.5824,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.42,
162
+ "learning_rate": 0.00017923322683706071,
163
+ "loss": 0.7605,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.43,
168
+ "learning_rate": 0.00017843450479233228,
169
+ "loss": 0.7816,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.45,
174
+ "learning_rate": 0.00017763578274760384,
175
+ "loss": 0.7451,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.46,
180
+ "learning_rate": 0.0001768370607028754,
181
+ "loss": 0.7161,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.48,
186
+ "learning_rate": 0.000176038338658147,
187
+ "loss": 0.6315,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.5,
192
+ "learning_rate": 0.00017523961661341855,
193
+ "loss": 0.6246,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.51,
198
+ "learning_rate": 0.0001744408945686901,
199
+ "loss": 0.5847,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.53,
204
+ "learning_rate": 0.00017364217252396167,
205
+ "loss": 0.632,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.54,
210
+ "learning_rate": 0.00017284345047923323,
211
+ "loss": 0.7901,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.56,
216
+ "learning_rate": 0.00017204472843450482,
217
+ "loss": 0.6926,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.58,
222
+ "learning_rate": 0.00017124600638977638,
223
+ "loss": 0.6079,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.59,
228
+ "learning_rate": 0.00017044728434504792,
229
+ "loss": 0.6323,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.61,
234
+ "learning_rate": 0.00016964856230031948,
235
+ "loss": 0.6733,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.62,
240
+ "learning_rate": 0.00016884984025559104,
241
+ "loss": 0.6248,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.64,
246
+ "learning_rate": 0.00016805111821086263,
247
+ "loss": 0.7995,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.65,
252
+ "learning_rate": 0.0001672523961661342,
253
+ "loss": 0.7554,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.67,
258
+ "learning_rate": 0.00016645367412140575,
259
+ "loss": 0.6262,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.69,
264
+ "learning_rate": 0.0001656549520766773,
265
+ "loss": 0.71,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.7,
270
+ "learning_rate": 0.0001648562300319489,
271
+ "loss": 0.6281,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.72,
276
+ "learning_rate": 0.00016405750798722046,
277
+ "loss": 0.6005,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.73,
282
+ "learning_rate": 0.00016325878594249202,
283
+ "loss": 0.5122,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.75,
288
+ "learning_rate": 0.00016246006389776359,
289
+ "loss": 0.5836,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.77,
294
+ "learning_rate": 0.00016166134185303515,
295
+ "loss": 0.5401,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.78,
300
+ "learning_rate": 0.00016086261980830674,
301
+ "loss": 0.8159,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.8,
306
+ "learning_rate": 0.0001600638977635783,
307
+ "loss": 0.632,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.81,
312
+ "learning_rate": 0.00015926517571884986,
313
+ "loss": 0.6293,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.83,
318
+ "learning_rate": 0.00015846645367412142,
319
+ "loss": 0.5831,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.85,
324
+ "learning_rate": 0.00015766773162939298,
325
+ "loss": 0.4642,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.86,
330
+ "learning_rate": 0.00015686900958466454,
331
+ "loss": 0.6678,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.88,
336
+ "learning_rate": 0.0001560702875399361,
337
+ "loss": 0.6439,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.89,
342
+ "learning_rate": 0.00015527156549520767,
343
+ "loss": 0.6224,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.91,
348
+ "learning_rate": 0.00015447284345047923,
349
+ "loss": 0.5306,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.93,
354
+ "learning_rate": 0.00015367412140575082,
355
+ "loss": 0.4909,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.94,
360
+ "learning_rate": 0.00015287539936102238,
361
+ "loss": 0.4913,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.96,
366
+ "learning_rate": 0.00015207667731629394,
367
+ "loss": 0.5959,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.97,
372
+ "learning_rate": 0.0001512779552715655,
373
+ "loss": 0.7232,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.99,
378
+ "learning_rate": 0.00015047923322683706,
379
+ "loss": 0.4987,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 1.0,
384
+ "eval_accuracy": 0.8031088082901554,
385
+ "eval_loss": 0.5480978488922119,
386
+ "eval_runtime": 1.2438,
387
+ "eval_samples_per_second": 155.169,
388
+ "eval_steps_per_second": 10.452,
389
+ "step": 626
390
+ },
391
+ {
392
+ "epoch": 1.01,
393
+ "learning_rate": 0.00014968051118210865,
394
+ "loss": 0.5424,
395
+ "step": 630
396
+ },
397
+ {
398
+ "epoch": 1.02,
399
+ "learning_rate": 0.0001488817891373802,
400
+ "loss": 0.3795,
401
+ "step": 640
402
+ },
403
+ {
404
+ "epoch": 1.04,
405
+ "learning_rate": 0.00014808306709265177,
406
+ "loss": 0.5057,
407
+ "step": 650
408
+ },
409
+ {
410
+ "epoch": 1.05,
411
+ "learning_rate": 0.00014728434504792333,
412
+ "loss": 0.5375,
413
+ "step": 660
414
+ },
415
+ {
416
+ "epoch": 1.07,
417
+ "learning_rate": 0.0001464856230031949,
418
+ "loss": 0.5068,
419
+ "step": 670
420
+ },
421
+ {
422
+ "epoch": 1.09,
423
+ "learning_rate": 0.00014568690095846646,
424
+ "loss": 0.5207,
425
+ "step": 680
426
+ },
427
+ {
428
+ "epoch": 1.1,
429
+ "learning_rate": 0.00014488817891373802,
430
+ "loss": 0.4394,
431
+ "step": 690
432
+ },
433
+ {
434
+ "epoch": 1.12,
435
+ "learning_rate": 0.00014408945686900958,
436
+ "loss": 0.3614,
437
+ "step": 700
438
+ },
439
+ {
440
+ "epoch": 1.13,
441
+ "learning_rate": 0.00014329073482428114,
442
+ "loss": 0.5282,
443
+ "step": 710
444
+ },
445
+ {
446
+ "epoch": 1.15,
447
+ "learning_rate": 0.00014249201277955273,
448
+ "loss": 0.4466,
449
+ "step": 720
450
+ },
451
+ {
452
+ "epoch": 1.17,
453
+ "learning_rate": 0.0001416932907348243,
454
+ "loss": 0.4081,
455
+ "step": 730
456
+ },
457
+ {
458
+ "epoch": 1.18,
459
+ "learning_rate": 0.00014089456869009585,
460
+ "loss": 0.4235,
461
+ "step": 740
462
+ },
463
+ {
464
+ "epoch": 1.2,
465
+ "learning_rate": 0.0001400958466453674,
466
+ "loss": 0.3791,
467
+ "step": 750
468
+ },
469
+ {
470
+ "epoch": 1.21,
471
+ "learning_rate": 0.000139297124600639,
472
+ "loss": 0.4024,
473
+ "step": 760
474
+ },
475
+ {
476
+ "epoch": 1.23,
477
+ "learning_rate": 0.00013849840255591056,
478
+ "loss": 0.3729,
479
+ "step": 770
480
+ },
481
+ {
482
+ "epoch": 1.25,
483
+ "learning_rate": 0.00013769968051118212,
484
+ "loss": 0.4715,
485
+ "step": 780
486
+ },
487
+ {
488
+ "epoch": 1.26,
489
+ "learning_rate": 0.00013690095846645369,
490
+ "loss": 0.4664,
491
+ "step": 790
492
+ },
493
+ {
494
+ "epoch": 1.28,
495
+ "learning_rate": 0.00013610223642172525,
496
+ "loss": 0.4945,
497
+ "step": 800
498
+ },
499
+ {
500
+ "epoch": 1.29,
501
+ "learning_rate": 0.0001353035143769968,
502
+ "loss": 0.4936,
503
+ "step": 810
504
+ },
505
+ {
506
+ "epoch": 1.31,
507
+ "learning_rate": 0.00013450479233226837,
508
+ "loss": 0.5814,
509
+ "step": 820
510
+ },
511
+ {
512
+ "epoch": 1.33,
513
+ "learning_rate": 0.00013370607028753993,
514
+ "loss": 0.3679,
515
+ "step": 830
516
+ },
517
+ {
518
+ "epoch": 1.34,
519
+ "learning_rate": 0.0001329073482428115,
520
+ "loss": 0.4897,
521
+ "step": 840
522
+ },
523
+ {
524
+ "epoch": 1.36,
525
+ "learning_rate": 0.00013210862619808305,
526
+ "loss": 0.4264,
527
+ "step": 850
528
+ },
529
+ {
530
+ "epoch": 1.37,
531
+ "learning_rate": 0.00013130990415335464,
532
+ "loss": 0.6188,
533
+ "step": 860
534
+ },
535
+ {
536
+ "epoch": 1.39,
537
+ "learning_rate": 0.0001305111821086262,
538
+ "loss": 0.4897,
539
+ "step": 870
540
+ },
541
+ {
542
+ "epoch": 1.41,
543
+ "learning_rate": 0.00012971246006389777,
544
+ "loss": 0.3392,
545
+ "step": 880
546
+ },
547
+ {
548
+ "epoch": 1.42,
549
+ "learning_rate": 0.00012891373801916933,
550
+ "loss": 0.5327,
551
+ "step": 890
552
+ },
553
+ {
554
+ "epoch": 1.44,
555
+ "learning_rate": 0.00012811501597444092,
556
+ "loss": 0.3651,
557
+ "step": 900
558
+ },
559
+ {
560
+ "epoch": 1.45,
561
+ "learning_rate": 0.00012731629392971248,
562
+ "loss": 0.4061,
563
+ "step": 910
564
+ },
565
+ {
566
+ "epoch": 1.47,
567
+ "learning_rate": 0.00012651757188498404,
568
+ "loss": 0.4701,
569
+ "step": 920
570
+ },
571
+ {
572
+ "epoch": 1.49,
573
+ "learning_rate": 0.0001257188498402556,
574
+ "loss": 0.3794,
575
+ "step": 930
576
+ },
577
+ {
578
+ "epoch": 1.5,
579
+ "learning_rate": 0.00012492012779552716,
580
+ "loss": 0.5627,
581
+ "step": 940
582
+ },
583
+ {
584
+ "epoch": 1.52,
585
+ "learning_rate": 0.00012412140575079872,
586
+ "loss": 0.514,
587
+ "step": 950
588
+ },
589
+ {
590
+ "epoch": 1.53,
591
+ "learning_rate": 0.00012332268370607028,
592
+ "loss": 0.424,
593
+ "step": 960
594
+ },
595
+ {
596
+ "epoch": 1.55,
597
+ "learning_rate": 0.00012252396166134185,
598
+ "loss": 0.4829,
599
+ "step": 970
600
+ },
601
+ {
602
+ "epoch": 1.57,
603
+ "learning_rate": 0.00012172523961661342,
604
+ "loss": 0.387,
605
+ "step": 980
606
+ },
607
+ {
608
+ "epoch": 1.58,
609
+ "learning_rate": 0.000120926517571885,
610
+ "loss": 0.472,
611
+ "step": 990
612
+ },
613
+ {
614
+ "epoch": 1.6,
615
+ "learning_rate": 0.00012012779552715656,
616
+ "loss": 0.3891,
617
+ "step": 1000
618
+ },
619
+ {
620
+ "epoch": 1.61,
621
+ "learning_rate": 0.00011932907348242812,
622
+ "loss": 0.4143,
623
+ "step": 1010
624
+ },
625
+ {
626
+ "epoch": 1.63,
627
+ "learning_rate": 0.00011853035143769968,
628
+ "loss": 0.4191,
629
+ "step": 1020
630
+ },
631
+ {
632
+ "epoch": 1.65,
633
+ "learning_rate": 0.00011773162939297124,
634
+ "loss": 0.44,
635
+ "step": 1030
636
+ },
637
+ {
638
+ "epoch": 1.66,
639
+ "learning_rate": 0.00011693290734824283,
640
+ "loss": 0.4942,
641
+ "step": 1040
642
+ },
643
+ {
644
+ "epoch": 1.68,
645
+ "learning_rate": 0.00011613418530351439,
646
+ "loss": 0.4446,
647
+ "step": 1050
648
+ },
649
+ {
650
+ "epoch": 1.69,
651
+ "learning_rate": 0.00011533546325878595,
652
+ "loss": 0.3974,
653
+ "step": 1060
654
+ },
655
+ {
656
+ "epoch": 1.71,
657
+ "learning_rate": 0.00011453674121405751,
658
+ "loss": 0.4112,
659
+ "step": 1070
660
+ },
661
+ {
662
+ "epoch": 1.73,
663
+ "learning_rate": 0.00011373801916932908,
664
+ "loss": 0.4987,
665
+ "step": 1080
666
+ },
667
+ {
668
+ "epoch": 1.74,
669
+ "learning_rate": 0.00011293929712460065,
670
+ "loss": 0.3738,
671
+ "step": 1090
672
+ },
673
+ {
674
+ "epoch": 1.76,
675
+ "learning_rate": 0.00011214057507987221,
676
+ "loss": 0.3729,
677
+ "step": 1100
678
+ },
679
+ {
680
+ "epoch": 1.77,
681
+ "learning_rate": 0.00011134185303514377,
682
+ "loss": 0.582,
683
+ "step": 1110
684
+ },
685
+ {
686
+ "epoch": 1.79,
687
+ "learning_rate": 0.00011054313099041533,
688
+ "loss": 0.3539,
689
+ "step": 1120
690
+ },
691
+ {
692
+ "epoch": 1.81,
693
+ "learning_rate": 0.00010974440894568691,
694
+ "loss": 0.222,
695
+ "step": 1130
696
+ },
697
+ {
698
+ "epoch": 1.82,
699
+ "learning_rate": 0.00010894568690095847,
700
+ "loss": 0.2987,
701
+ "step": 1140
702
+ },
703
+ {
704
+ "epoch": 1.84,
705
+ "learning_rate": 0.00010814696485623003,
706
+ "loss": 0.5448,
707
+ "step": 1150
708
+ },
709
+ {
710
+ "epoch": 1.85,
711
+ "learning_rate": 0.0001073482428115016,
712
+ "loss": 0.377,
713
+ "step": 1160
714
+ },
715
+ {
716
+ "epoch": 1.87,
717
+ "learning_rate": 0.00010654952076677316,
718
+ "loss": 0.3518,
719
+ "step": 1170
720
+ },
721
+ {
722
+ "epoch": 1.88,
723
+ "learning_rate": 0.00010575079872204474,
724
+ "loss": 0.5725,
725
+ "step": 1180
726
+ },
727
+ {
728
+ "epoch": 1.9,
729
+ "learning_rate": 0.0001049520766773163,
730
+ "loss": 0.2406,
731
+ "step": 1190
732
+ },
733
+ {
734
+ "epoch": 1.92,
735
+ "learning_rate": 0.00010415335463258787,
736
+ "loss": 0.3681,
737
+ "step": 1200
738
+ },
739
+ {
740
+ "epoch": 1.93,
741
+ "learning_rate": 0.00010335463258785943,
742
+ "loss": 0.4454,
743
+ "step": 1210
744
+ },
745
+ {
746
+ "epoch": 1.95,
747
+ "learning_rate": 0.000102555910543131,
748
+ "loss": 0.2933,
749
+ "step": 1220
750
+ },
751
+ {
752
+ "epoch": 1.96,
753
+ "learning_rate": 0.00010175718849840256,
754
+ "loss": 0.3093,
755
+ "step": 1230
756
+ },
757
+ {
758
+ "epoch": 1.98,
759
+ "learning_rate": 0.00010095846645367413,
760
+ "loss": 0.4952,
761
+ "step": 1240
762
+ },
763
+ {
764
+ "epoch": 2.0,
765
+ "learning_rate": 0.00010015974440894569,
766
+ "loss": 0.3814,
767
+ "step": 1250
768
+ },
769
+ {
770
+ "epoch": 2.0,
771
+ "eval_accuracy": 0.8911917098445595,
772
+ "eval_loss": 0.38037967681884766,
773
+ "eval_runtime": 1.2431,
774
+ "eval_samples_per_second": 155.258,
775
+ "eval_steps_per_second": 10.458,
776
+ "step": 1252
777
+ },
778
+ {
779
+ "epoch": 2.01,
780
+ "learning_rate": 9.936102236421726e-05,
781
+ "loss": 0.347,
782
+ "step": 1260
783
+ },
784
+ {
785
+ "epoch": 2.03,
786
+ "learning_rate": 9.856230031948882e-05,
787
+ "loss": 0.1718,
788
+ "step": 1270
789
+ },
790
+ {
791
+ "epoch": 2.04,
792
+ "learning_rate": 9.77635782747604e-05,
793
+ "loss": 0.2688,
794
+ "step": 1280
795
+ },
796
+ {
797
+ "epoch": 2.06,
798
+ "learning_rate": 9.696485623003195e-05,
799
+ "loss": 0.2019,
800
+ "step": 1290
801
+ },
802
+ {
803
+ "epoch": 2.08,
804
+ "learning_rate": 9.616613418530351e-05,
805
+ "loss": 0.2318,
806
+ "step": 1300
807
+ },
808
+ {
809
+ "epoch": 2.09,
810
+ "learning_rate": 9.536741214057508e-05,
811
+ "loss": 0.2364,
812
+ "step": 1310
813
+ },
814
+ {
815
+ "epoch": 2.11,
816
+ "learning_rate": 9.456869009584664e-05,
817
+ "loss": 0.2729,
818
+ "step": 1320
819
+ },
820
+ {
821
+ "epoch": 2.12,
822
+ "learning_rate": 9.376996805111822e-05,
823
+ "loss": 0.2046,
824
+ "step": 1330
825
+ },
826
+ {
827
+ "epoch": 2.14,
828
+ "learning_rate": 9.297124600638978e-05,
829
+ "loss": 0.2405,
830
+ "step": 1340
831
+ },
832
+ {
833
+ "epoch": 2.16,
834
+ "learning_rate": 9.217252396166136e-05,
835
+ "loss": 0.1687,
836
+ "step": 1350
837
+ },
838
+ {
839
+ "epoch": 2.17,
840
+ "learning_rate": 9.137380191693292e-05,
841
+ "loss": 0.2252,
842
+ "step": 1360
843
+ },
844
+ {
845
+ "epoch": 2.19,
846
+ "learning_rate": 9.057507987220448e-05,
847
+ "loss": 0.1544,
848
+ "step": 1370
849
+ },
850
+ {
851
+ "epoch": 2.2,
852
+ "learning_rate": 8.977635782747604e-05,
853
+ "loss": 0.2436,
854
+ "step": 1380
855
+ },
856
+ {
857
+ "epoch": 2.22,
858
+ "learning_rate": 8.89776357827476e-05,
859
+ "loss": 0.2051,
860
+ "step": 1390
861
+ },
862
+ {
863
+ "epoch": 2.24,
864
+ "learning_rate": 8.817891373801918e-05,
865
+ "loss": 0.163,
866
+ "step": 1400
867
+ },
868
+ {
869
+ "epoch": 2.25,
870
+ "learning_rate": 8.738019169329074e-05,
871
+ "loss": 0.2489,
872
+ "step": 1410
873
+ },
874
+ {
875
+ "epoch": 2.27,
876
+ "learning_rate": 8.658146964856231e-05,
877
+ "loss": 0.2738,
878
+ "step": 1420
879
+ },
880
+ {
881
+ "epoch": 2.28,
882
+ "learning_rate": 8.578274760383387e-05,
883
+ "loss": 0.1508,
884
+ "step": 1430
885
+ },
886
+ {
887
+ "epoch": 2.3,
888
+ "learning_rate": 8.498402555910544e-05,
889
+ "loss": 0.1544,
890
+ "step": 1440
891
+ },
892
+ {
893
+ "epoch": 2.32,
894
+ "learning_rate": 8.4185303514377e-05,
895
+ "loss": 0.2727,
896
+ "step": 1450
897
+ },
898
+ {
899
+ "epoch": 2.33,
900
+ "learning_rate": 8.338658146964856e-05,
901
+ "loss": 0.1686,
902
+ "step": 1460
903
+ },
904
+ {
905
+ "epoch": 2.35,
906
+ "learning_rate": 8.258785942492013e-05,
907
+ "loss": 0.1416,
908
+ "step": 1470
909
+ },
910
+ {
911
+ "epoch": 2.36,
912
+ "learning_rate": 8.17891373801917e-05,
913
+ "loss": 0.4586,
914
+ "step": 1480
915
+ },
916
+ {
917
+ "epoch": 2.38,
918
+ "learning_rate": 8.099041533546327e-05,
919
+ "loss": 0.1554,
920
+ "step": 1490
921
+ },
922
+ {
923
+ "epoch": 2.4,
924
+ "learning_rate": 8.019169329073483e-05,
925
+ "loss": 0.2235,
926
+ "step": 1500
927
+ },
928
+ {
929
+ "epoch": 2.41,
930
+ "learning_rate": 7.939297124600639e-05,
931
+ "loss": 0.1812,
932
+ "step": 1510
933
+ },
934
+ {
935
+ "epoch": 2.43,
936
+ "learning_rate": 7.859424920127795e-05,
937
+ "loss": 0.1648,
938
+ "step": 1520
939
+ },
940
+ {
941
+ "epoch": 2.44,
942
+ "learning_rate": 7.779552715654951e-05,
943
+ "loss": 0.1314,
944
+ "step": 1530
945
+ },
946
+ {
947
+ "epoch": 2.46,
948
+ "learning_rate": 7.699680511182109e-05,
949
+ "loss": 0.2276,
950
+ "step": 1540
951
+ },
952
+ {
953
+ "epoch": 2.48,
954
+ "learning_rate": 7.619808306709265e-05,
955
+ "loss": 0.1624,
956
+ "step": 1550
957
+ },
958
+ {
959
+ "epoch": 2.49,
960
+ "learning_rate": 7.539936102236423e-05,
961
+ "loss": 0.1603,
962
+ "step": 1560
963
+ },
964
+ {
965
+ "epoch": 2.51,
966
+ "learning_rate": 7.460063897763579e-05,
967
+ "loss": 0.2533,
968
+ "step": 1570
969
+ },
970
+ {
971
+ "epoch": 2.52,
972
+ "learning_rate": 7.380191693290735e-05,
973
+ "loss": 0.1245,
974
+ "step": 1580
975
+ },
976
+ {
977
+ "epoch": 2.54,
978
+ "learning_rate": 7.300319488817891e-05,
979
+ "loss": 0.1848,
980
+ "step": 1590
981
+ },
982
+ {
983
+ "epoch": 2.56,
984
+ "learning_rate": 7.220447284345049e-05,
985
+ "loss": 0.223,
986
+ "step": 1600
987
+ },
988
+ {
989
+ "epoch": 2.57,
990
+ "learning_rate": 7.140575079872205e-05,
991
+ "loss": 0.1223,
992
+ "step": 1610
993
+ },
994
+ {
995
+ "epoch": 2.59,
996
+ "learning_rate": 7.060702875399361e-05,
997
+ "loss": 0.309,
998
+ "step": 1620
999
+ },
1000
+ {
1001
+ "epoch": 2.6,
1002
+ "learning_rate": 6.980830670926518e-05,
1003
+ "loss": 0.354,
1004
+ "step": 1630
1005
+ },
1006
+ {
1007
+ "epoch": 2.62,
1008
+ "learning_rate": 6.900958466453674e-05,
1009
+ "loss": 0.2051,
1010
+ "step": 1640
1011
+ },
1012
+ {
1013
+ "epoch": 2.64,
1014
+ "learning_rate": 6.821086261980832e-05,
1015
+ "loss": 0.2932,
1016
+ "step": 1650
1017
+ },
1018
+ {
1019
+ "epoch": 2.65,
1020
+ "learning_rate": 6.741214057507987e-05,
1021
+ "loss": 0.1401,
1022
+ "step": 1660
1023
+ },
1024
+ {
1025
+ "epoch": 2.67,
1026
+ "learning_rate": 6.661341853035144e-05,
1027
+ "loss": 0.3012,
1028
+ "step": 1670
1029
+ },
1030
+ {
1031
+ "epoch": 2.68,
1032
+ "learning_rate": 6.5814696485623e-05,
1033
+ "loss": 0.1481,
1034
+ "step": 1680
1035
+ },
1036
+ {
1037
+ "epoch": 2.7,
1038
+ "learning_rate": 6.501597444089457e-05,
1039
+ "loss": 0.3556,
1040
+ "step": 1690
1041
+ },
1042
+ {
1043
+ "epoch": 2.72,
1044
+ "learning_rate": 6.421725239616614e-05,
1045
+ "loss": 0.1193,
1046
+ "step": 1700
1047
+ },
1048
+ {
1049
+ "epoch": 2.73,
1050
+ "learning_rate": 6.34185303514377e-05,
1051
+ "loss": 0.2956,
1052
+ "step": 1710
1053
+ },
1054
+ {
1055
+ "epoch": 2.75,
1056
+ "learning_rate": 6.261980830670928e-05,
1057
+ "loss": 0.164,
1058
+ "step": 1720
1059
+ },
1060
+ {
1061
+ "epoch": 2.76,
1062
+ "learning_rate": 6.182108626198084e-05,
1063
+ "loss": 0.1218,
1064
+ "step": 1730
1065
+ },
1066
+ {
1067
+ "epoch": 2.78,
1068
+ "learning_rate": 6.1022364217252406e-05,
1069
+ "loss": 0.094,
1070
+ "step": 1740
1071
+ },
1072
+ {
1073
+ "epoch": 2.8,
1074
+ "learning_rate": 6.022364217252396e-05,
1075
+ "loss": 0.1787,
1076
+ "step": 1750
1077
+ },
1078
+ {
1079
+ "epoch": 2.81,
1080
+ "learning_rate": 5.942492012779552e-05,
1081
+ "loss": 0.1833,
1082
+ "step": 1760
1083
+ },
1084
+ {
1085
+ "epoch": 2.83,
1086
+ "learning_rate": 5.86261980830671e-05,
1087
+ "loss": 0.1389,
1088
+ "step": 1770
1089
+ },
1090
+ {
1091
+ "epoch": 2.84,
1092
+ "learning_rate": 5.782747603833866e-05,
1093
+ "loss": 0.2109,
1094
+ "step": 1780
1095
+ },
1096
+ {
1097
+ "epoch": 2.86,
1098
+ "learning_rate": 5.702875399361023e-05,
1099
+ "loss": 0.1668,
1100
+ "step": 1790
1101
+ },
1102
+ {
1103
+ "epoch": 2.88,
1104
+ "learning_rate": 5.623003194888179e-05,
1105
+ "loss": 0.1651,
1106
+ "step": 1800
1107
+ },
1108
+ {
1109
+ "epoch": 2.89,
1110
+ "learning_rate": 5.543130990415336e-05,
1111
+ "loss": 0.2081,
1112
+ "step": 1810
1113
+ },
1114
+ {
1115
+ "epoch": 2.91,
1116
+ "learning_rate": 5.4632587859424925e-05,
1117
+ "loss": 0.2506,
1118
+ "step": 1820
1119
+ },
1120
+ {
1121
+ "epoch": 2.92,
1122
+ "learning_rate": 5.383386581469649e-05,
1123
+ "loss": 0.1272,
1124
+ "step": 1830
1125
+ },
1126
+ {
1127
+ "epoch": 2.94,
1128
+ "learning_rate": 5.3035143769968054e-05,
1129
+ "loss": 0.1332,
1130
+ "step": 1840
1131
+ },
1132
+ {
1133
+ "epoch": 2.96,
1134
+ "learning_rate": 5.2236421725239616e-05,
1135
+ "loss": 0.0827,
1136
+ "step": 1850
1137
+ },
1138
+ {
1139
+ "epoch": 2.97,
1140
+ "learning_rate": 5.1437699680511184e-05,
1141
+ "loss": 0.2688,
1142
+ "step": 1860
1143
+ },
1144
+ {
1145
+ "epoch": 2.99,
1146
+ "learning_rate": 5.0638977635782745e-05,
1147
+ "loss": 0.3182,
1148
+ "step": 1870
1149
+ },
1150
+ {
1151
+ "epoch": 3.0,
1152
+ "eval_accuracy": 0.8652849740932642,
1153
+ "eval_loss": 0.3915177285671234,
1154
+ "eval_runtime": 1.2215,
1155
+ "eval_samples_per_second": 158.006,
1156
+ "eval_steps_per_second": 10.643,
1157
+ "step": 1878
1158
+ },
1159
+ {
1160
+ "epoch": 3.0,
1161
+ "learning_rate": 4.984025559105431e-05,
1162
+ "loss": 0.1101,
1163
+ "step": 1880
1164
+ },
1165
+ {
1166
+ "epoch": 3.02,
1167
+ "learning_rate": 4.904153354632588e-05,
1168
+ "loss": 0.08,
1169
+ "step": 1890
1170
+ },
1171
+ {
1172
+ "epoch": 3.04,
1173
+ "learning_rate": 4.824281150159744e-05,
1174
+ "loss": 0.0661,
1175
+ "step": 1900
1176
+ },
1177
+ {
1178
+ "epoch": 3.05,
1179
+ "learning_rate": 4.744408945686901e-05,
1180
+ "loss": 0.088,
1181
+ "step": 1910
1182
+ },
1183
+ {
1184
+ "epoch": 3.07,
1185
+ "learning_rate": 4.664536741214058e-05,
1186
+ "loss": 0.069,
1187
+ "step": 1920
1188
+ },
1189
+ {
1190
+ "epoch": 3.08,
1191
+ "learning_rate": 4.584664536741215e-05,
1192
+ "loss": 0.0646,
1193
+ "step": 1930
1194
+ },
1195
+ {
1196
+ "epoch": 3.1,
1197
+ "learning_rate": 4.504792332268371e-05,
1198
+ "loss": 0.0334,
1199
+ "step": 1940
1200
+ },
1201
+ {
1202
+ "epoch": 3.12,
1203
+ "learning_rate": 4.424920127795527e-05,
1204
+ "loss": 0.0727,
1205
+ "step": 1950
1206
+ },
1207
+ {
1208
+ "epoch": 3.13,
1209
+ "learning_rate": 4.345047923322684e-05,
1210
+ "loss": 0.0762,
1211
+ "step": 1960
1212
+ },
1213
+ {
1214
+ "epoch": 3.15,
1215
+ "learning_rate": 4.265175718849841e-05,
1216
+ "loss": 0.0199,
1217
+ "step": 1970
1218
+ },
1219
+ {
1220
+ "epoch": 3.16,
1221
+ "learning_rate": 4.185303514376997e-05,
1222
+ "loss": 0.0673,
1223
+ "step": 1980
1224
+ },
1225
+ {
1226
+ "epoch": 3.18,
1227
+ "learning_rate": 4.1054313099041536e-05,
1228
+ "loss": 0.0639,
1229
+ "step": 1990
1230
+ },
1231
+ {
1232
+ "epoch": 3.19,
1233
+ "learning_rate": 4.0255591054313104e-05,
1234
+ "loss": 0.068,
1235
+ "step": 2000
1236
+ },
1237
+ {
1238
+ "epoch": 3.21,
1239
+ "learning_rate": 3.9456869009584666e-05,
1240
+ "loss": 0.034,
1241
+ "step": 2010
1242
+ },
1243
+ {
1244
+ "epoch": 3.23,
1245
+ "learning_rate": 3.8658146964856234e-05,
1246
+ "loss": 0.0384,
1247
+ "step": 2020
1248
+ },
1249
+ {
1250
+ "epoch": 3.24,
1251
+ "learning_rate": 3.7859424920127795e-05,
1252
+ "loss": 0.0797,
1253
+ "step": 2030
1254
+ },
1255
+ {
1256
+ "epoch": 3.26,
1257
+ "learning_rate": 3.7060702875399364e-05,
1258
+ "loss": 0.0842,
1259
+ "step": 2040
1260
+ },
1261
+ {
1262
+ "epoch": 3.27,
1263
+ "learning_rate": 3.6261980830670925e-05,
1264
+ "loss": 0.0483,
1265
+ "step": 2050
1266
+ },
1267
+ {
1268
+ "epoch": 3.29,
1269
+ "learning_rate": 3.546325878594249e-05,
1270
+ "loss": 0.0688,
1271
+ "step": 2060
1272
+ },
1273
+ {
1274
+ "epoch": 3.31,
1275
+ "learning_rate": 3.466453674121406e-05,
1276
+ "loss": 0.0651,
1277
+ "step": 2070
1278
+ },
1279
+ {
1280
+ "epoch": 3.32,
1281
+ "learning_rate": 3.386581469648562e-05,
1282
+ "loss": 0.0215,
1283
+ "step": 2080
1284
+ },
1285
+ {
1286
+ "epoch": 3.34,
1287
+ "learning_rate": 3.306709265175719e-05,
1288
+ "loss": 0.0203,
1289
+ "step": 2090
1290
+ },
1291
+ {
1292
+ "epoch": 3.35,
1293
+ "learning_rate": 3.226837060702875e-05,
1294
+ "loss": 0.035,
1295
+ "step": 2100
1296
+ },
1297
+ {
1298
+ "epoch": 3.37,
1299
+ "learning_rate": 3.146964856230032e-05,
1300
+ "loss": 0.1068,
1301
+ "step": 2110
1302
+ },
1303
+ {
1304
+ "epoch": 3.39,
1305
+ "learning_rate": 3.067092651757188e-05,
1306
+ "loss": 0.0426,
1307
+ "step": 2120
1308
+ },
1309
+ {
1310
+ "epoch": 3.4,
1311
+ "learning_rate": 2.987220447284345e-05,
1312
+ "loss": 0.0234,
1313
+ "step": 2130
1314
+ },
1315
+ {
1316
+ "epoch": 3.42,
1317
+ "learning_rate": 2.907348242811502e-05,
1318
+ "loss": 0.0345,
1319
+ "step": 2140
1320
+ },
1321
+ {
1322
+ "epoch": 3.43,
1323
+ "learning_rate": 2.8274760383386583e-05,
1324
+ "loss": 0.1023,
1325
+ "step": 2150
1326
+ },
1327
+ {
1328
+ "epoch": 3.45,
1329
+ "learning_rate": 2.747603833865815e-05,
1330
+ "loss": 0.0391,
1331
+ "step": 2160
1332
+ },
1333
+ {
1334
+ "epoch": 3.47,
1335
+ "learning_rate": 2.6677316293929716e-05,
1336
+ "loss": 0.0536,
1337
+ "step": 2170
1338
+ },
1339
+ {
1340
+ "epoch": 3.48,
1341
+ "learning_rate": 2.5878594249201278e-05,
1342
+ "loss": 0.0318,
1343
+ "step": 2180
1344
+ },
1345
+ {
1346
+ "epoch": 3.5,
1347
+ "learning_rate": 2.5079872204472842e-05,
1348
+ "loss": 0.0285,
1349
+ "step": 2190
1350
+ },
1351
+ {
1352
+ "epoch": 3.51,
1353
+ "learning_rate": 2.428115015974441e-05,
1354
+ "loss": 0.062,
1355
+ "step": 2200
1356
+ },
1357
+ {
1358
+ "epoch": 3.53,
1359
+ "learning_rate": 2.3482428115015975e-05,
1360
+ "loss": 0.0315,
1361
+ "step": 2210
1362
+ },
1363
+ {
1364
+ "epoch": 3.55,
1365
+ "learning_rate": 2.268370607028754e-05,
1366
+ "loss": 0.0656,
1367
+ "step": 2220
1368
+ },
1369
+ {
1370
+ "epoch": 3.56,
1371
+ "learning_rate": 2.188498402555911e-05,
1372
+ "loss": 0.0152,
1373
+ "step": 2230
1374
+ },
1375
+ {
1376
+ "epoch": 3.58,
1377
+ "learning_rate": 2.108626198083067e-05,
1378
+ "loss": 0.1108,
1379
+ "step": 2240
1380
+ },
1381
+ {
1382
+ "epoch": 3.59,
1383
+ "learning_rate": 2.0287539936102238e-05,
1384
+ "loss": 0.0951,
1385
+ "step": 2250
1386
+ },
1387
+ {
1388
+ "epoch": 3.61,
1389
+ "learning_rate": 1.9488817891373803e-05,
1390
+ "loss": 0.1139,
1391
+ "step": 2260
1392
+ },
1393
+ {
1394
+ "epoch": 3.63,
1395
+ "learning_rate": 1.869009584664537e-05,
1396
+ "loss": 0.027,
1397
+ "step": 2270
1398
+ },
1399
+ {
1400
+ "epoch": 3.64,
1401
+ "learning_rate": 1.7891373801916932e-05,
1402
+ "loss": 0.0577,
1403
+ "step": 2280
1404
+ },
1405
+ {
1406
+ "epoch": 3.66,
1407
+ "learning_rate": 1.7172523961661345e-05,
1408
+ "loss": 0.0411,
1409
+ "step": 2290
1410
+ },
1411
+ {
1412
+ "epoch": 3.67,
1413
+ "learning_rate": 1.6373801916932906e-05,
1414
+ "loss": 0.0706,
1415
+ "step": 2300
1416
+ },
1417
+ {
1418
+ "epoch": 3.69,
1419
+ "learning_rate": 1.5575079872204475e-05,
1420
+ "loss": 0.1357,
1421
+ "step": 2310
1422
+ },
1423
+ {
1424
+ "epoch": 3.71,
1425
+ "learning_rate": 1.477635782747604e-05,
1426
+ "loss": 0.0638,
1427
+ "step": 2320
1428
+ },
1429
+ {
1430
+ "epoch": 3.72,
1431
+ "learning_rate": 1.3977635782747606e-05,
1432
+ "loss": 0.0508,
1433
+ "step": 2330
1434
+ },
1435
+ {
1436
+ "epoch": 3.74,
1437
+ "learning_rate": 1.3178913738019169e-05,
1438
+ "loss": 0.0224,
1439
+ "step": 2340
1440
+ },
1441
+ {
1442
+ "epoch": 3.75,
1443
+ "learning_rate": 1.2380191693290735e-05,
1444
+ "loss": 0.0108,
1445
+ "step": 2350
1446
+ },
1447
+ {
1448
+ "epoch": 3.77,
1449
+ "learning_rate": 1.1581469648562302e-05,
1450
+ "loss": 0.0652,
1451
+ "step": 2360
1452
+ },
1453
+ {
1454
+ "epoch": 3.79,
1455
+ "learning_rate": 1.0782747603833867e-05,
1456
+ "loss": 0.0548,
1457
+ "step": 2370
1458
+ },
1459
+ {
1460
+ "epoch": 3.8,
1461
+ "learning_rate": 9.984025559105432e-06,
1462
+ "loss": 0.0335,
1463
+ "step": 2380
1464
+ },
1465
+ {
1466
+ "epoch": 3.82,
1467
+ "learning_rate": 9.185303514376996e-06,
1468
+ "loss": 0.0372,
1469
+ "step": 2390
1470
+ },
1471
+ {
1472
+ "epoch": 3.83,
1473
+ "learning_rate": 8.386581469648563e-06,
1474
+ "loss": 0.0994,
1475
+ "step": 2400
1476
+ },
1477
+ {
1478
+ "epoch": 3.85,
1479
+ "learning_rate": 7.5878594249201285e-06,
1480
+ "loss": 0.0135,
1481
+ "step": 2410
1482
+ },
1483
+ {
1484
+ "epoch": 3.87,
1485
+ "learning_rate": 6.789137380191693e-06,
1486
+ "loss": 0.0583,
1487
+ "step": 2420
1488
+ },
1489
+ {
1490
+ "epoch": 3.88,
1491
+ "learning_rate": 5.990415335463259e-06,
1492
+ "loss": 0.0961,
1493
+ "step": 2430
1494
+ },
1495
+ {
1496
+ "epoch": 3.9,
1497
+ "learning_rate": 5.191693290734825e-06,
1498
+ "loss": 0.0292,
1499
+ "step": 2440
1500
+ },
1501
+ {
1502
+ "epoch": 3.91,
1503
+ "learning_rate": 4.39297124600639e-06,
1504
+ "loss": 0.0288,
1505
+ "step": 2450
1506
+ },
1507
+ {
1508
+ "epoch": 3.93,
1509
+ "learning_rate": 3.5942492012779555e-06,
1510
+ "loss": 0.0565,
1511
+ "step": 2460
1512
+ },
1513
+ {
1514
+ "epoch": 3.95,
1515
+ "learning_rate": 2.7955271565495207e-06,
1516
+ "loss": 0.0607,
1517
+ "step": 2470
1518
+ },
1519
+ {
1520
+ "epoch": 3.96,
1521
+ "learning_rate": 1.9968051118210863e-06,
1522
+ "loss": 0.0529,
1523
+ "step": 2480
1524
+ },
1525
+ {
1526
+ "epoch": 3.98,
1527
+ "learning_rate": 1.1980830670926517e-06,
1528
+ "loss": 0.0449,
1529
+ "step": 2490
1530
+ },
1531
+ {
1532
+ "epoch": 3.99,
1533
+ "learning_rate": 3.9936102236421723e-07,
1534
+ "loss": 0.067,
1535
+ "step": 2500
1536
+ },
1537
+ {
1538
+ "epoch": 4.0,
1539
+ "eval_accuracy": 0.8704663212435233,
1540
+ "eval_loss": 0.4523600935935974,
1541
+ "eval_runtime": 1.2991,
1542
+ "eval_samples_per_second": 148.567,
1543
+ "eval_steps_per_second": 10.007,
1544
+ "step": 2504
1545
+ },
1546
+ {
1547
+ "epoch": 4.0,
1548
+ "step": 2504,
1549
+ "total_flos": 3.104468219559813e+18,
1550
+ "train_loss": 0.3521563596071336,
1551
+ "train_runtime": 855.1502,
1552
+ "train_samples_per_second": 46.846,
1553
+ "train_steps_per_second": 2.928
1554
+ }
1555
+ ],
1556
+ "max_steps": 2504,
1557
+ "num_train_epochs": 4,
1558
+ "total_flos": 3.104468219559813e+18,
1559
+ "trial_name": null,
1560
+ "trial_params": null
1561
+ }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cd83693b6e6cd5aad0fba806e63f3e5a086303fde86da198520593f9965121a6
3
  size 3899
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b9327532a3b8055a3cc3c9f84ab6a6bea92d89b653599fe55ef75bfa90283be
3
  size 3899