Hugging Face's logo

SimoneJLaudani
/
trainerH

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Model card Files Metrics Community
SimoneJLaudani commited on
Commit
6fe6d28
·
verified ·
1 Parent(s): 34af40f

End of training

Browse files
Files changed (7) hide show
  1. README.md +35 -43
  2. model.safetensors +1 -1
  3. runs/Apr04_09-19-12_76de971d69be/events.out.tfevents.1712222357.76de971d69be.181.0 +3 -0
  4. runs/Apr04_09-19-12_76de971d69be/events.out.tfevents.1712232761.76de971d69be.181.1 +3 -0
  5. runs/Apr04_12-24-34_76de971d69be/events.out.tfevents.1712233479.76de971d69be.181.2 +3 -0
  6. runs/Apr04_12-24-34_76de971d69be/events.out.tfevents.1712240723.76de971d69be.181.3 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 1.0027
24
- - Precision: 0.8141
25
- - Recall: 0.8067
26
- - F1: 0.8073
27
- - Accuracy: 0.8067
28
 
29
  ## Model description
30
 
@@ -49,49 +49,41 @@ The following hyperparameters were used during training:
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 5
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | 1.9463 | 0.14 | 30 | 1.8631 | 0.1245 | 0.1625 | 0.0819 | 0.1625 |
59
- | 1.7589 | 0.27 | 60 | 1.4567 | 0.4725 | 0.5098 | 0.4483 | 0.5098 |
60
- | 1.389 | 0.41 | 90 | 1.2228 | 0.6230 | 0.5714 | 0.5547 | 0.5714 |
61
- | 1.2009 | 0.54 | 120 | 1.0306 | 0.7264 | 0.6835 | 0.6666 | 0.6835 |
62
- | 1.0999 | 0.68 | 150 | 0.8052 | 0.7808 | 0.7647 | 0.7625 | 0.7647 |
63
- | 0.8848 | 0.81 | 180 | 0.7826 | 0.7499 | 0.7283 | 0.7191 | 0.7283 |
64
- | 0.685 | 0.95 | 210 | 0.7337 | 0.7765 | 0.7591 | 0.7587 | 0.7591 |
65
- | 0.5562 | 1.08 | 240 | 0.6653 | 0.7897 | 0.7871 | 0.7863 | 0.7871 |
66
- | 0.4662 | 1.22 | 270 | 0.7158 | 0.7895 | 0.7535 | 0.7539 | 0.7535 |
67
- | 0.3985 | 1.35 | 300 | 0.6552 | 0.8160 | 0.8011 | 0.8024 | 0.8011 |
68
- | 0.317 | 1.49 | 330 | 0.7378 | 0.7902 | 0.7843 | 0.7836 | 0.7843 |
69
- | 0.4177 | 1.62 | 360 | 0.6983 | 0.8085 | 0.8039 | 0.8028 | 0.8039 |
70
- | 0.383 | 1.76 | 390 | 0.7612 | 0.7979 | 0.7759 | 0.7640 | 0.7759 |
71
- | 0.2906 | 1.89 | 420 | 0.7369 | 0.7914 | 0.7759 | 0.7761 | 0.7759 |
72
- | 0.3305 | 2.03 | 450 | 0.7302 | 0.7904 | 0.7787 | 0.7791 | 0.7787 |
73
- | 0.1398 | 2.16 | 480 | 0.7798 | 0.8169 | 0.8095 | 0.8084 | 0.8095 |
74
- | 0.0988 | 2.3 | 510 | 0.9284 | 0.7902 | 0.7815 | 0.7799 | 0.7815 |
75
- | 0.1449 | 2.43 | 540 | 0.8863 | 0.8196 | 0.8123 | 0.8133 | 0.8123 |
76
- | 0.2552 | 2.57 | 570 | 0.8396 | 0.8227 | 0.8179 | 0.8177 | 0.8179 |
77
- | 0.1616 | 2.7 | 600 | 0.8182 | 0.8172 | 0.8123 | 0.8128 | 0.8123 |
78
- | 0.2163 | 2.84 | 630 | 0.8075 | 0.8031 | 0.7983 | 0.7994 | 0.7983 |
79
- | 0.2134 | 2.97 | 660 | 0.9430 | 0.8190 | 0.8067 | 0.8080 | 0.8067 |
80
- | 0.1255 | 3.11 | 690 | 0.8907 | 0.8166 | 0.8123 | 0.8116 | 0.8123 |
81
- | 0.0969 | 3.24 | 720 | 0.8805 | 0.8009 | 0.7983 | 0.7977 | 0.7983 |
82
- | 0.0649 | 3.38 | 750 | 0.9065 | 0.7957 | 0.7843 | 0.7846 | 0.7843 |
83
- | 0.0328 | 3.51 | 780 | 0.9083 | 0.8141 | 0.8095 | 0.8093 | 0.8095 |
84
- | 0.0274 | 3.65 | 810 | 0.8894 | 0.8096 | 0.8011 | 0.8011 | 0.8011 |
85
- | 0.0906 | 3.78 | 840 | 0.9425 | 0.8166 | 0.8095 | 0.8101 | 0.8095 |
86
- | 0.0906 | 3.92 | 870 | 0.9333 | 0.8066 | 0.8011 | 0.8011 | 0.8011 |
87
- | 0.0641 | 4.05 | 900 | 0.9052 | 0.8108 | 0.8067 | 0.8063 | 0.8067 |
88
- | 0.0246 | 4.19 | 930 | 0.9993 | 0.8017 | 0.7955 | 0.7946 | 0.7955 |
89
- | 0.0551 | 4.32 | 960 | 0.9899 | 0.8174 | 0.8123 | 0.8122 | 0.8123 |
90
- | 0.0084 | 4.46 | 990 | 0.9954 | 0.8127 | 0.8067 | 0.8066 | 0.8067 |
91
- | 0.0049 | 4.59 | 1020 | 0.9912 | 0.8145 | 0.8095 | 0.8093 | 0.8095 |
92
- | 0.0217 | 4.73 | 1050 | 0.9957 | 0.8128 | 0.8067 | 0.8067 | 0.8067 |
93
- | 0.0144 | 4.86 | 1080 | 1.0042 | 0.8164 | 0.8095 | 0.8100 | 0.8095 |
94
- | 0.0276 | 5.0 | 1110 | 1.0027 | 0.8141 | 0.8067 | 0.8073 | 0.8067 |
95
 
96
 
97
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.8043
24
+ - Precision: 0.8432
25
+ - Recall: 0.8375
26
+ - F1: 0.8381
27
+ - Accuracy: 0.8375
28
 
29
  ## Model description
30
 
 
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 4
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | 1.9232 | 0.14 | 30 | 1.8330 | 0.2755 | 0.2773 | 0.2340 | 0.2773 |
59
+ | 1.7293 | 0.27 | 60 | 1.4729 | 0.3588 | 0.3613 | 0.2487 | 0.3613 |
60
+ | 1.3897 | 0.41 | 90 | 1.2344 | 0.6697 | 0.5238 | 0.4653 | 0.5238 |
61
+ | 1.2399 | 0.54 | 120 | 1.1505 | 0.6705 | 0.6106 | 0.5897 | 0.6106 |
62
+ | 1.1299 | 0.68 | 150 | 0.8937 | 0.7178 | 0.7087 | 0.7062 | 0.7087 |
63
+ | 0.9878 | 0.81 | 180 | 0.8656 | 0.7067 | 0.6583 | 0.6466 | 0.6583 |
64
+ | 0.7844 | 0.95 | 210 | 0.7538 | 0.7501 | 0.7339 | 0.7321 | 0.7339 |
65
+ | 0.5865 | 1.08 | 240 | 0.7162 | 0.7628 | 0.7563 | 0.7559 | 0.7563 |
66
+ | 0.4725 | 1.22 | 270 | 0.7242 | 0.8196 | 0.7815 | 0.7836 | 0.7815 |
67
+ | 0.4168 | 1.35 | 300 | 0.6477 | 0.8091 | 0.7983 | 0.8001 | 0.7983 |
68
+ | 0.3725 | 1.49 | 330 | 0.5628 | 0.7972 | 0.7871 | 0.7872 | 0.7871 |
69
+ | 0.3664 | 1.62 | 360 | 0.6316 | 0.8052 | 0.7955 | 0.7957 | 0.7955 |
70
+ | 0.3654 | 1.76 | 390 | 0.6254 | 0.8246 | 0.8179 | 0.8177 | 0.8179 |
71
+ | 0.2986 | 1.89 | 420 | 0.6129 | 0.8150 | 0.8095 | 0.8098 | 0.8095 |
72
+ | 0.2652 | 2.03 | 450 | 0.6471 | 0.8190 | 0.8151 | 0.8151 | 0.8151 |
73
+ | 0.1143 | 2.16 | 480 | 0.6956 | 0.8349 | 0.8291 | 0.8262 | 0.8291 |
74
+ | 0.0961 | 2.3 | 510 | 0.7992 | 0.8205 | 0.8179 | 0.8170 | 0.8179 |
75
+ | 0.1593 | 2.43 | 540 | 0.7508 | 0.8296 | 0.8207 | 0.8210 | 0.8207 |
76
+ | 0.1486 | 2.57 | 570 | 0.7732 | 0.8262 | 0.8207 | 0.8203 | 0.8207 |
77
+ | 0.1515 | 2.7 | 600 | 0.7413 | 0.8362 | 0.8319 | 0.8321 | 0.8319 |
78
+ | 0.0922 | 2.84 | 630 | 0.7168 | 0.8416 | 0.8375 | 0.8375 | 0.8375 |
79
+ | 0.1195 | 2.97 | 660 | 0.7461 | 0.8436 | 0.8347 | 0.8357 | 0.8347 |
80
+ | 0.0882 | 3.11 | 690 | 0.7472 | 0.8404 | 0.8319 | 0.8321 | 0.8319 |
81
+ | 0.0573 | 3.24 | 720 | 0.7631 | 0.8409 | 0.8347 | 0.8356 | 0.8347 |
82
+ | 0.0284 | 3.38 | 750 | 0.7559 | 0.8346 | 0.8319 | 0.8321 | 0.8319 |
83
+ | 0.0307 | 3.51 | 780 | 0.7669 | 0.8425 | 0.8375 | 0.8379 | 0.8375 |
84
+ | 0.0225 | 3.65 | 810 | 0.7827 | 0.8428 | 0.8375 | 0.8380 | 0.8375 |
85
+ | 0.0512 | 3.78 | 840 | 0.8073 | 0.8444 | 0.8375 | 0.8381 | 0.8375 |
86
+ | 0.0261 | 3.92 | 870 | 0.8061 | 0.8412 | 0.8347 | 0.8354 | 0.8347 |
 
 
 
 
 
 
 
 
87
 
88
 
89
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:098e20c330fc9c6fc9e29ac4e68724325b0ddab6f2c605c40292d0121e0fc192
3
  size 263160068
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15b9b92c2440804696580d734aa95264256ffcbe9b8a2cbbd3c05794c088356f
3
  size 263160068
runs/Apr04_09-19-12_76de971d69be/events.out.tfevents.1712222357.76de971d69be.181.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e1978cf3934538aeda87bb5e4b38728e9574d92c09e69aaf0dc1675a322d46d
3
+ size 41372
runs/Apr04_09-19-12_76de971d69be/events.out.tfevents.1712232761.76de971d69be.181.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da42418c5767d04c420e265e35219fc348f34478cddc46c05e1872d1864523fa
3
+ size 6658
runs/Apr04_12-24-34_76de971d69be/events.out.tfevents.1712233479.76de971d69be.181.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cac58620435d90dea9fccce64369cce72e8bc73f51f9483da6fd2cecf790a4ea
3
+ size 24885
runs/Apr04_12-24-34_76de971d69be/events.out.tfevents.1712240723.76de971d69be.181.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:692d6819253e4506c2eeb7ab2ea57c1e500b8e0a7b2ccd3fda24701bdc4b7c28
3
+ size 560
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c564b281f4d86a09a862aa9e6561baff85bf27abedcee7201f2b7210f26de2eb
3
  size 4920
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:159cbf29cd5655c579352d1e69c14f7142e43d982408798542460577a13cd0ef
3
  size 4920