RonTon05 commited on
Commit
11104b2
·
verified ·
1 Parent(s): 4e353ed

End of training

Browse files
Files changed (2) hide show
  1. README.md +22 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.2985
21
- - Accuracy: 0.9307
22
- - F1: 0.9312
23
 
24
  ## Model description
25
 
@@ -52,25 +52,25 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
55
- | No log | 1.0230 | 200 | 0.1511 | 0.9390 | 0.9395 |
56
- | No log | 2.0460 | 400 | 0.1571 | 0.9351 | 0.9356 |
57
- | No log | 3.0691 | 600 | 0.1750 | 0.9340 | 0.9347 |
58
- | 0.15 | 4.0921 | 800 | 0.1731 | 0.9334 | 0.9339 |
59
- | 0.15 | 5.1151 | 1000 | 0.1912 | 0.9321 | 0.9326 |
60
- | 0.15 | 6.1381 | 1200 | 0.2302 | 0.9273 | 0.9283 |
61
- | 0.15 | 7.1611 | 1400 | 0.2180 | 0.9325 | 0.9330 |
62
- | 0.0918 | 8.1841 | 1600 | 0.2620 | 0.9292 | 0.9300 |
63
- | 0.0918 | 9.2072 | 1800 | 0.2363 | 0.9326 | 0.9329 |
64
- | 0.0918 | 10.2302 | 2000 | 0.2687 | 0.9243 | 0.9252 |
65
- | 0.0918 | 11.2532 | 2200 | 0.2621 | 0.9312 | 0.9317 |
66
- | 0.0608 | 12.2762 | 2400 | 0.2741 | 0.9306 | 0.9312 |
67
- | 0.0608 | 13.2992 | 2600 | 0.2614 | 0.9302 | 0.9306 |
68
- | 0.0608 | 14.3223 | 2800 | 0.2830 | 0.9317 | 0.9321 |
69
- | 0.0608 | 15.3453 | 3000 | 0.2874 | 0.9285 | 0.9291 |
70
- | 0.0429 | 16.3683 | 3200 | 0.2844 | 0.9318 | 0.9323 |
71
- | 0.0429 | 17.3913 | 3400 | 0.2836 | 0.9310 | 0.9313 |
72
- | 0.0429 | 18.4143 | 3600 | 0.2885 | 0.9309 | 0.9312 |
73
- | 0.0429 | 19.4373 | 3800 | 0.2985 | 0.9307 | 0.9312 |
74
 
75
 
76
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.3898
21
+ - Accuracy: 0.8943
22
+ - F1: 0.8949
23
 
24
  ## Model description
25
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
55
+ | No log | 1.0230 | 200 | 0.3239 | 0.8676 | 0.8657 |
56
+ | No log | 2.0460 | 400 | 0.2895 | 0.8761 | 0.8750 |
57
+ | No log | 3.0691 | 600 | 0.2810 | 0.8862 | 0.8865 |
58
+ | 0.2918 | 4.0921 | 800 | 0.2887 | 0.8842 | 0.8856 |
59
+ | 0.2918 | 5.1151 | 1000 | 0.2770 | 0.8938 | 0.8945 |
60
+ | 0.2918 | 6.1381 | 1200 | 0.3323 | 0.8837 | 0.8856 |
61
+ | 0.2918 | 7.1611 | 1400 | 0.3013 | 0.8935 | 0.8942 |
62
+ | 0.1744 | 8.1841 | 1600 | 0.3146 | 0.8919 | 0.8935 |
63
+ | 0.1744 | 9.2072 | 1800 | 0.3165 | 0.8977 | 0.8978 |
64
+ | 0.1744 | 10.2302 | 2000 | 0.3452 | 0.8889 | 0.8903 |
65
+ | 0.1744 | 11.2532 | 2200 | 0.3487 | 0.8956 | 0.8964 |
66
+ | 0.1208 | 12.2762 | 2400 | 0.3420 | 0.8956 | 0.8963 |
67
+ | 0.1208 | 13.2992 | 2600 | 0.3441 | 0.8983 | 0.8984 |
68
+ | 0.1208 | 14.3223 | 2800 | 0.3713 | 0.8962 | 0.8966 |
69
+ | 0.1208 | 15.3453 | 3000 | 0.3696 | 0.8962 | 0.8968 |
70
+ | 0.0881 | 16.3683 | 3200 | 0.3812 | 0.8957 | 0.8964 |
71
+ | 0.0881 | 17.3913 | 3400 | 0.3824 | 0.8952 | 0.8958 |
72
+ | 0.0881 | 18.4143 | 3600 | 0.3838 | 0.8975 | 0.8978 |
73
+ | 0.0881 | 19.4373 | 3800 | 0.3898 | 0.8943 | 0.8949 |
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aa123420a95c12cc3ff0915d6a65a7a70dda70c31fc646b4d175b16a9e2094c4
3
  size 540023384
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2184cc480f33a745c90095512f3c0acb7049d0c617421e349e06d1a2bf745214
3
  size 540023384