Amit7Singh commited on
Commit
14bbb78
1 Parent(s): 26d78bf

End of training

Browse files
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 1.0686
23
- - Accuracy: 0.4768
24
- - Precision: 0.3209
25
- - Recall: 0.4271
26
- - F1 Score: 0.3662
27
 
28
  ## Model description
29
 
 
19
 
20
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 1.0268
23
+ - Accuracy: 0.4762
24
+ - Precision: 0.4889
25
+ - Recall: 0.4212
26
+ - F1 Score: 0.4111
27
 
28
  ## Model description
29
 
all_results.json CHANGED
@@ -1,11 +1,11 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_accuracy": 0.4767932489451477,
4
- "eval_f1_score": 0.3661976458605423,
5
- "eval_loss": 1.0686038732528687,
6
- "eval_precision": 0.32091473572618506,
7
- "eval_recall": 0.4271251449469271,
8
- "eval_runtime": 119.6948,
9
- "eval_samples_per_second": 1.98,
10
- "eval_steps_per_second": 0.501
11
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_accuracy": 0.47619047619047616,
4
+ "eval_f1_score": 0.41111111111111115,
5
+ "eval_loss": 1.0267835855484009,
6
+ "eval_precision": 0.48888888888888893,
7
+ "eval_recall": 0.42116402116402113,
8
+ "eval_runtime": 53.8815,
9
+ "eval_samples_per_second": 0.39,
10
+ "eval_steps_per_second": 0.111
11
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cae18db1514da80638b79e9b0b0c516eecc1a953fd08109bdb8ee6ee6d9caad7
3
  size 344940444
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae3394d1a5c882b8362619a54e085a8a3a7ecc269c768640b51d5abd833b7795
3
  size 344940444
runs/May08_21-19-37_dd248a14f5bd/events.out.tfevents.1715203178.dd248a14f5bd.605.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d51e5213c2991ee4cc6d80fdeccb2c929ab1e227a347dcb915c1b2bdc6a3caf
3
+ size 6348
runs/May08_21-19-37_dd248a14f5bd/events.out.tfevents.1715203435.dd248a14f5bd.605.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5af8a33a1b1b02c0f7aefb4ac7e461d0f36ebb0318a4b076169cd8d740e09d1c
3
+ size 1495
test_results.json CHANGED
@@ -1,11 +1,11 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_accuracy": 0.4767932489451477,
4
- "eval_f1_score": 0.3661976458605423,
5
- "eval_loss": 1.0686038732528687,
6
- "eval_precision": 0.32091473572618506,
7
- "eval_recall": 0.4271251449469271,
8
- "eval_runtime": 119.6948,
9
- "eval_samples_per_second": 1.98,
10
- "eval_steps_per_second": 0.501
11
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_accuracy": 0.47619047619047616,
4
+ "eval_f1_score": 0.41111111111111115,
5
+ "eval_loss": 1.0267835855484009,
6
+ "eval_precision": 0.48888888888888893,
7
+ "eval_recall": 0.42116402116402113,
8
+ "eval_runtime": 53.8815,
9
+ "eval_samples_per_second": 0.39,
10
+ "eval_steps_per_second": 0.111
11
  }
trainer_state.json CHANGED
@@ -10,73 +10,73 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.47619047619047616,
13
- "grad_norm": 9.188933372497559,
14
  "learning_rate": 3.055555555555556e-05,
15
- "loss": 1.1617,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.9523809523809523,
20
- "grad_norm": 7.943577289581299,
21
  "learning_rate": 2.777777777777778e-06,
22
- "loss": 1.0688,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 1.0,
27
  "step": 21,
28
- "train_accuracy": 0.5058823529411764,
29
- "train_f1_score": 0.38273142382731423,
30
- "train_loss": 1.0447287559509277,
31
- "train_precision": 0.34656084656084657,
32
- "train_recall": 0.4481981981981982,
33
- "train_runtime": 85.7129,
34
- "train_samples_per_second": 0.992,
35
- "train_steps_per_second": 0.257
36
  },
37
  {
38
  "epoch": 1.0,
39
  "step": 21,
40
  "total_flos": 1.0467035897226854e+17,
41
- "train_loss": 1.113835295041402,
42
- "train_runtime": 202.8918,
43
- "train_samples_per_second": 0.414,
44
- "train_steps_per_second": 0.104
45
  },
46
  {
47
  "epoch": 1.0,
48
- "eval_accuracy": 0.4767932489451477,
49
- "eval_f1_score": 0.3661976458605423,
50
- "eval_loss": 1.0686039924621582,
51
- "eval_precision": 0.32091473572618506,
52
- "eval_recall": 0.4271251449469271,
53
- "eval_runtime": 112.8198,
54
- "eval_samples_per_second": 2.101,
55
- "eval_steps_per_second": 0.532,
56
  "step": 21
57
  },
58
  {
59
  "epoch": 1.0,
60
- "eval_accuracy": 0.4767932489451477,
61
- "eval_f1_score": 0.3661976458605423,
62
- "eval_loss": 1.0686039924621582,
63
- "eval_precision": 0.32091473572618506,
64
- "eval_recall": 0.4271251449469271,
65
- "eval_runtime": 124.2793,
66
- "eval_samples_per_second": 1.907,
67
- "eval_steps_per_second": 0.483,
68
  "step": 21
69
  },
70
  {
71
  "epoch": 1.0,
72
- "eval_accuracy": 0.4767932489451477,
73
- "eval_f1_score": 0.3661976458605423,
74
- "eval_loss": 1.0686038732528687,
75
- "eval_precision": 0.32091473572618506,
76
- "eval_recall": 0.4271251449469271,
77
- "eval_runtime": 119.6948,
78
- "eval_samples_per_second": 1.98,
79
- "eval_steps_per_second": 0.501,
80
  "step": 21
81
  }
82
  ],
 
10
  "log_history": [
11
  {
12
  "epoch": 0.47619047619047616,
13
+ "grad_norm": 8.267570495605469,
14
  "learning_rate": 3.055555555555556e-05,
15
+ "loss": 1.0915,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.9523809523809523,
20
+ "grad_norm": 9.618600845336914,
21
  "learning_rate": 2.777777777777778e-06,
22
+ "loss": 1.0665,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 1.0,
27
  "step": 21,
28
+ "train_accuracy": 0.5294117647058824,
29
+ "train_f1_score": 0.4002614379084967,
30
+ "train_loss": 1.0142669677734375,
31
+ "train_precision": 0.6444444444444445,
32
+ "train_recall": 0.44285714285714284,
33
+ "train_runtime": 92.9856,
34
+ "train_samples_per_second": 0.914,
35
+ "train_steps_per_second": 0.237
36
  },
37
  {
38
  "epoch": 1.0,
39
  "step": 21,
40
  "total_flos": 1.0467035897226854e+17,
41
+ "train_loss": 1.0731309538795835,
42
+ "train_runtime": 209.4786,
43
+ "train_samples_per_second": 0.401,
44
+ "train_steps_per_second": 0.1
45
  },
46
  {
47
  "epoch": 1.0,
48
+ "eval_accuracy": 0.47619047619047616,
49
+ "eval_f1_score": 0.41111111111111115,
50
+ "eval_loss": 1.0267835855484009,
51
+ "eval_precision": 0.48888888888888893,
52
+ "eval_recall": 0.42116402116402113,
53
+ "eval_runtime": 45.2712,
54
+ "eval_samples_per_second": 0.464,
55
+ "eval_steps_per_second": 0.133,
56
  "step": 21
57
  },
58
  {
59
  "epoch": 1.0,
60
+ "eval_accuracy": 0.47619047619047616,
61
+ "eval_f1_score": 0.41111111111111115,
62
+ "eval_loss": 1.0267837047576904,
63
+ "eval_precision": 0.48888888888888893,
64
+ "eval_recall": 0.42116402116402113,
65
+ "eval_runtime": 47.5405,
66
+ "eval_samples_per_second": 0.442,
67
+ "eval_steps_per_second": 0.126,
68
  "step": 21
69
  },
70
  {
71
  "epoch": 1.0,
72
+ "eval_accuracy": 0.47619047619047616,
73
+ "eval_f1_score": 0.41111111111111115,
74
+ "eval_loss": 1.0267835855484009,
75
+ "eval_precision": 0.48888888888888893,
76
+ "eval_recall": 0.42116402116402113,
77
+ "eval_runtime": 53.8815,
78
+ "eval_samples_per_second": 0.39,
79
+ "eval_steps_per_second": 0.111,
80
  "step": 21
81
  }
82
  ],
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ac03b57644c41704b3fddc2ea718a5b7876cbe454c3b8605de94d5ab18cff147
3
  size 5048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eee139aede3176d81668e6c272075ef4d5f6f641259dec75fe84391fbd9fd3ad
3
  size 5048