Theoreticallyhugo commited on
Commit
78a616f
1 Parent(s): 85a4c3b

Training in progress, epoch 3, checkpoint

Browse files
checkpoint-243/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:54550f9d252908aae0aa876ef0d9a9b04a265b037244755ec2832dcbb76ff8ff
3
  size 592324828
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5bac80e6411d8c4f2005ccbba2fcfdd562acba9bfc8aa814953d051f8859194
3
  size 592324828
checkpoint-243/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3464ec241e84cea915fe804f91062272c94f8b6fdbe8809a558357dcf98e9b0
3
  size 1014657786
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3fb641c4d64af621255b624580867e5df949f7d884d08674cb28a997bc45d07
3
  size 1014657786
checkpoint-243/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5e7403b5a2b8007c90df75059abe86b7e67f96587685c6c4fcbd47bcd5bb1b47
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e984b98ab63d56b5554ebc9d5cbb96c54b5395d60b231b99094a49c73bd68ca
3
  size 1064
checkpoint-243/trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": null,
3
- "best_model_checkpoint": null,
4
  "epoch": 3.0,
5
  "eval_steps": 500,
6
  "global_step": 243,
@@ -11,143 +11,143 @@
11
  {
12
  "epoch": 1.0,
13
  "eval_Claim": {
14
- "f1-score": 0.41092129347162903,
15
- "precision": 0.5640703517587939,
16
- "recall": 0.32317658349328215,
17
- "support": 4168.0
18
  },
19
  "eval_MajorClaim": {
20
- "f1-score": 0.6523102655237298,
21
- "precision": 0.5929304446978335,
22
- "recall": 0.724907063197026,
23
- "support": 2152.0
24
  },
25
  "eval_O": {
26
- "f1-score": 0.8834432924913603,
27
- "precision": 0.8545380875202593,
28
- "recall": 0.9143724257533059,
29
- "support": 9226.0
30
  },
31
  "eval_Premise": {
32
- "f1-score": 0.8664166767469054,
33
- "precision": 0.8441231929604023,
34
- "recall": 0.8899196554294707,
35
- "support": 12073.0
36
  },
37
- "eval_accuracy": 0.7997031029363844,
38
- "eval_loss": 0.5104541182518005,
39
  "eval_macro avg": {
40
- "f1-score": 0.7032728820584061,
41
- "precision": 0.7139155192343223,
42
- "recall": 0.7130939319682712,
43
- "support": 27619.0
44
- },
45
- "eval_runtime": 4.7759,
46
- "eval_samples_per_second": 16.751,
47
- "eval_steps_per_second": 2.094,
48
  "eval_weighted avg": {
49
- "f1-score": 0.7866826459135919,
50
- "precision": 0.7857670171690952,
51
- "recall": 0.7997031029363844,
52
- "support": 27619.0
53
  },
54
  "step": 81
55
  },
56
  {
57
  "epoch": 2.0,
58
  "eval_Claim": {
59
- "f1-score": 0.5200312174817897,
60
- "precision": 0.5678977272727272,
61
- "recall": 0.47960652591170827,
62
- "support": 4168.0
63
  },
64
  "eval_MajorClaim": {
65
- "f1-score": 0.7526302911671151,
66
- "precision": 0.7948320413436692,
67
- "recall": 0.7146840148698885,
68
- "support": 2152.0
69
  },
70
  "eval_O": {
71
- "f1-score": 0.9116096466629278,
72
- "precision": 0.944560669456067,
73
- "recall": 0.8808801213960546,
74
- "support": 9226.0
75
  },
76
  "eval_Premise": {
77
- "f1-score": 0.8738735224125151,
78
- "precision": 0.8259587020648967,
79
- "recall": 0.9276898865236478,
80
- "support": 12073.0
81
  },
82
- "eval_accuracy": 0.8278359100619139,
83
- "eval_loss": 0.44692954421043396,
84
  "eval_macro avg": {
85
- "f1-score": 0.7645361694310869,
86
- "precision": 0.7833122850343401,
87
- "recall": 0.7507151371753248,
88
- "support": 27619.0
89
- },
90
- "eval_runtime": 4.7439,
91
- "eval_samples_per_second": 16.864,
92
- "eval_steps_per_second": 2.108,
93
  "eval_weighted avg": {
94
- "f1-score": 0.8236335905447046,
95
- "precision": 0.8242076985653165,
96
- "recall": 0.8278359100619139,
97
- "support": 27619.0
98
  },
99
  "step": 162
100
  },
101
  {
102
  "epoch": 3.0,
103
  "eval_Claim": {
104
- "f1-score": 0.6218357913273168,
105
- "precision": 0.5744204961366409,
106
- "recall": 0.6777831094049904,
107
- "support": 4168.0
108
  },
109
  "eval_MajorClaim": {
110
- "f1-score": 0.7799868909766223,
111
- "precision": 0.7360824742268042,
112
- "recall": 0.8294609665427509,
113
- "support": 2152.0
114
  },
115
  "eval_O": {
116
- "f1-score": 0.9093637121422617,
117
- "precision": 0.9330596419204014,
118
- "recall": 0.8868415347929763,
119
- "support": 9226.0
120
  },
121
  "eval_Premise": {
122
- "f1-score": 0.876420695504665,
123
- "precision": 0.89797514556357,
124
- "recall": 0.855876749772219,
125
- "support": 12073.0
126
  },
127
- "eval_accuracy": 0.8372859263550454,
128
- "eval_loss": 0.40934404730796814,
129
  "eval_macro avg": {
130
- "f1-score": 0.7969017724877165,
131
- "precision": 0.7853844394618541,
132
- "recall": 0.8124905901282342,
133
- "support": 27619.0
134
- },
135
- "eval_runtime": 4.7941,
136
- "eval_samples_per_second": 16.687,
137
- "eval_steps_per_second": 2.086,
138
  "eval_weighted avg": {
139
- "f1-score": 0.8414917278933443,
140
- "precision": 0.8482528803063183,
141
- "recall": 0.8372859263550454,
142
- "support": 27619.0
143
  },
144
  "step": 243
145
  }
146
  ],
147
  "logging_steps": 500,
148
- "max_steps": 4050,
149
  "num_input_tokens_seen": 0,
150
- "num_train_epochs": 50,
151
  "save_steps": 500,
152
  "total_flos": 431366198180400.0,
153
  "train_batch_size": 4,
 
1
  {
2
+ "best_metric": 0.5075464248657227,
3
+ "best_model_checkpoint": "longformer-simple/checkpoint-162",
4
  "epoch": 3.0,
5
  "eval_steps": 500,
6
  "global_step": 243,
 
11
  {
12
  "epoch": 1.0,
13
  "eval_Claim": {
14
+ "f1-score": 0.46242900830056793,
15
+ "precision": 0.43257049448304047,
16
+ "recall": 0.496715157203191,
17
+ "support": 4262.0
18
  },
19
  "eval_MajorClaim": {
20
+ "f1-score": 0.5626477541371159,
21
+ "precision": 0.6522533495736906,
22
+ "recall": 0.49468822170900695,
23
+ "support": 2165.0
24
  },
25
  "eval_O": {
26
+ "f1-score": 0.8691687871077185,
27
+ "precision": 0.911293908403735,
28
+ "recall": 0.8307661126874747,
29
+ "support": 9868.0
30
  },
31
  "eval_Premise": {
32
+ "f1-score": 0.8615178272046495,
33
+ "precision": 0.8377046804810897,
34
+ "recall": 0.88672444205844,
35
+ "support": 13039.0
36
  },
37
+ "eval_accuracy": 0.7823004022635849,
38
+ "eval_loss": 0.5488611459732056,
39
  "eval_macro avg": {
40
+ "f1-score": 0.6889408441875129,
41
+ "precision": 0.708455608235389,
42
+ "recall": 0.6772234834145282,
43
+ "support": 29334.0
44
+ },
45
+ "eval_runtime": 5.8698,
46
+ "eval_samples_per_second": 13.629,
47
+ "eval_steps_per_second": 1.704,
48
  "eval_weighted avg": {
49
+ "f1-score": 0.7840489998358311,
50
+ "precision": 0.7899101236188295,
51
+ "recall": 0.7823004022635849,
52
+ "support": 29334.0
53
  },
54
  "step": 81
55
  },
56
  {
57
  "epoch": 2.0,
58
  "eval_Claim": {
59
+ "f1-score": 0.5457327068079991,
60
+ "precision": 0.5107383923092657,
61
+ "recall": 0.5858751759737213,
62
+ "support": 4262.0
63
  },
64
  "eval_MajorClaim": {
65
+ "f1-score": 0.6722085773663329,
66
+ "precision": 0.5687340153452686,
67
+ "recall": 0.8217090069284064,
68
+ "support": 2165.0
69
  },
70
  "eval_O": {
71
+ "f1-score": 0.8773589977955805,
72
+ "precision": 0.9344863131370977,
73
+ "recall": 0.8268139440616133,
74
+ "support": 9868.0
75
  },
76
  "eval_Premise": {
77
+ "f1-score": 0.8678243902439025,
78
+ "precision": 0.8834419195931988,
79
+ "recall": 0.852749443975765,
80
+ "support": 13039.0
81
  },
82
+ "eval_accuracy": 0.8029590236585532,
83
+ "eval_loss": 0.5075464248657227,
84
  "eval_macro avg": {
85
+ "f1-score": 0.7407811680534537,
86
+ "precision": 0.7243501600962077,
87
+ "recall": 0.7717868927348766,
88
+ "support": 29334.0
89
+ },
90
+ "eval_runtime": 5.9473,
91
+ "eval_samples_per_second": 13.451,
92
+ "eval_steps_per_second": 1.681,
93
  "eval_weighted avg": {
94
+ "f1-score": 0.8097969994222006,
95
+ "precision": 0.8232353684753937,
96
+ "recall": 0.8029590236585532,
97
+ "support": 29334.0
98
  },
99
  "step": 162
100
  },
101
  {
102
  "epoch": 3.0,
103
  "eval_Claim": {
104
+ "f1-score": 0.4978109708987896,
105
+ "precision": 0.5516552511415526,
106
+ "recall": 0.45354293758798686,
107
+ "support": 4262.0
108
  },
109
  "eval_MajorClaim": {
110
+ "f1-score": 0.7357876283496118,
111
+ "precision": 0.8036105032822757,
112
+ "recall": 0.6785219399538106,
113
+ "support": 2165.0
114
  },
115
  "eval_O": {
116
+ "f1-score": 0.8891011355194736,
117
+ "precision": 0.9331699710403207,
118
+ "recall": 0.8490068909606809,
119
+ "support": 9868.0
120
  },
121
  "eval_Premise": {
122
+ "f1-score": 0.8770979581655561,
123
+ "precision": 0.8191560170394037,
124
+ "recall": 0.9438607255157604,
125
+ "support": 13039.0
126
  },
127
+ "eval_accuracy": 0.821129065248517,
128
+ "eval_loss": 0.5219377279281616,
129
  "eval_macro avg": {
130
+ "f1-score": 0.7499494232333578,
131
+ "precision": 0.7768979356258882,
132
+ "recall": 0.7312331235045597,
133
+ "support": 29334.0
134
+ },
135
+ "eval_runtime": 5.8364,
136
+ "eval_samples_per_second": 13.707,
137
+ "eval_steps_per_second": 1.713,
138
  "eval_weighted avg": {
139
+ "f1-score": 0.815598992812927,
140
+ "precision": 0.8174973750724106,
141
+ "recall": 0.821129065248517,
142
+ "support": 29334.0
143
  },
144
  "step": 243
145
  }
146
  ],
147
  "logging_steps": 500,
148
+ "max_steps": 1620,
149
  "num_input_tokens_seen": 0,
150
+ "num_train_epochs": 20,
151
  "save_steps": 500,
152
  "total_flos": 431366198180400.0,
153
  "train_batch_size": 4,
checkpoint-243/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1e651c478af6098730eda01c59bbe4834fbad7ed476e7ec6e4265141ee6647e9
3
  size 4856
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91855299d72d2ceb66b00b0c173ef2e96bd5d782fa49a7debc2d6f3b7cbd2cd4
3
  size 4856