Hugging Face's logo

lBober
/
my-model-MiniLM-Area

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
lBober commited on
Commit
1015e2c
•
1 Parent(s): 991a300

lBober/my-model-MiniLM-Area

Browse files
Files changed (4) hide show
  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/May26_10-08-38_04e338bea0e4/events.out.tfevents.1716718119.04e338bea0e4.5912.0 +3 -0
  4. 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 [Microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/Microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 1.4129
24
- - Accuracy: 0.5036
25
- - F1: 0.4909
26
- - Precision: 0.5021
27
- - Recall: 0.5036
28
 
29
  ## Model description
30
 
@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
- | 1.8823 | 1.0 | 22 | 1.7754 | 0.3165 | 0.1522 | 0.1002 | 0.3165 |
59
- | 1.7966 | 2.0 | 44 | 1.6984 | 0.4029 | 0.2987 | 0.2682 | 0.4029 |
60
- | 1.7182 | 3.0 | 66 | 1.6278 | 0.4460 | 0.3334 | 0.2662 | 0.4460 |
61
- | 1.6204 | 4.0 | 88 | 1.6025 | 0.4388 | 0.3266 | 0.2619 | 0.4388 |
62
- | 1.5906 | 5.0 | 110 | 1.5386 | 0.4892 | 0.3664 | 0.3004 | 0.4892 |
63
- | 1.5192 | 6.0 | 132 | 1.5516 | 0.4317 | 0.3209 | 0.2596 | 0.4317 |
64
- | 1.4358 | 7.0 | 154 | 1.5271 | 0.4676 | 0.3495 | 0.2795 | 0.4676 |
65
- | 1.3818 | 8.0 | 176 | 1.4780 | 0.4748 | 0.3797 | 0.3403 | 0.4748 |
66
- | 1.314 | 9.0 | 198 | 1.4462 | 0.5180 | 0.4476 | 0.3974 | 0.5180 |
67
- | 1.2579 | 10.0 | 220 | 1.4591 | 0.5036 | 0.4265 | 0.3722 | 0.5036 |
68
- | 1.2336 | 11.0 | 242 | 1.4948 | 0.5108 | 0.4529 | 0.4399 | 0.5108 |
69
- | 1.1771 | 12.0 | 264 | 1.4809 | 0.5108 | 0.4500 | 0.4315 | 0.5108 |
70
- | 1.1311 | 13.0 | 286 | 1.4216 | 0.5540 | 0.5039 | 0.6025 | 0.5540 |
71
- | 1.0755 | 14.0 | 308 | 1.4449 | 0.5108 | 0.4819 | 0.5087 | 0.5108 |
72
- | 1.0362 | 15.0 | 330 | 1.4401 | 0.5324 | 0.5149 | 0.5126 | 0.5324 |
73
- | 1.0026 | 16.0 | 352 | 1.3924 | 0.5396 | 0.5192 | 0.5101 | 0.5396 |
74
- | 0.9734 | 17.0 | 374 | 1.4036 | 0.5180 | 0.5024 | 0.5116 | 0.5180 |
75
- | 0.949 | 18.0 | 396 | 1.3800 | 0.5252 | 0.5108 | 0.5189 | 0.5252 |
76
- | 0.9293 | 19.0 | 418 | 1.4091 | 0.5036 | 0.4895 | 0.4982 | 0.5036 |
77
- | 0.9185 | 20.0 | 440 | 1.4129 | 0.5036 | 0.4909 | 0.5021 | 0.5036 |
78
 
79
 
80
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [Microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/Microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.3128
24
+ - Accuracy: 0.6043
25
+ - F1: 0.5286
26
+ - Precision: 0.4717
27
+ - Recall: 0.6043
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
+ | 1.8779 | 1.0 | 22 | 1.7587 | 0.3094 | 0.1462 | 0.0957 | 0.3094 |
59
+ | 1.7841 | 2.0 | 44 | 1.7061 | 0.3094 | 0.1462 | 0.0957 | 0.3094 |
60
+ | 1.7493 | 3.0 | 66 | 1.6460 | 0.4388 | 0.3251 | 0.2858 | 0.4388 |
61
+ | 1.6781 | 4.0 | 88 | 1.5695 | 0.4964 | 0.3684 | 0.2931 | 0.4964 |
62
+ | 1.6071 | 5.0 | 110 | 1.5254 | 0.4892 | 0.3664 | 0.3057 | 0.4892 |
63
+ | 1.5653 | 6.0 | 132 | 1.5095 | 0.4892 | 0.3682 | 0.3111 | 0.4892 |
64
+ | 1.4851 | 7.0 | 154 | 1.4530 | 0.5108 | 0.3828 | 0.3147 | 0.5108 |
65
+ | 1.4579 | 8.0 | 176 | 1.4585 | 0.4892 | 0.3655 | 0.3033 | 0.4892 |
66
+ | 1.4111 | 9.0 | 198 | 1.4121 | 0.5108 | 0.3828 | 0.3147 | 0.5108 |
67
+ | 1.3628 | 10.0 | 220 | 1.4197 | 0.4964 | 0.3986 | 0.3759 | 0.4964 |
68
+ | 1.3227 | 11.0 | 242 | 1.4058 | 0.5396 | 0.4495 | 0.3994 | 0.5396 |
69
+ | 1.28 | 12.0 | 264 | 1.3937 | 0.4964 | 0.3988 | 0.3810 | 0.4964 |
70
+ | 1.2424 | 13.0 | 286 | 1.3457 | 0.5324 | 0.4359 | 0.3996 | 0.5324 |
71
+ | 1.2156 | 14.0 | 308 | 1.3541 | 0.5683 | 0.4831 | 0.4213 | 0.5683 |
72
+ | 1.1711 | 15.0 | 330 | 1.3269 | 0.5899 | 0.5115 | 0.4739 | 0.5899 |
73
+ | 1.1453 | 16.0 | 352 | 1.3020 | 0.6043 | 0.5195 | 0.4593 | 0.6043 |
74
+ | 1.1201 | 17.0 | 374 | 1.3095 | 0.6115 | 0.5339 | 0.4784 | 0.6115 |
75
+ | 1.0841 | 18.0 | 396 | 1.3220 | 0.6043 | 0.5318 | 0.4789 | 0.6043 |
76
+ | 1.0784 | 19.0 | 418 | 1.3110 | 0.6115 | 0.5342 | 0.4763 | 0.6115 |
77
+ | 1.0642 | 20.0 | 440 | 1.3128 | 0.6043 | 0.5286 | 0.4717 | 0.6043 |
78
 
79
 
80
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3e79ef1b12ff1eeaf812d6b071d4c4b1f132b471b748ecfc0003e5be4c5f4e0
3
  size 470649364
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e8e57d6e8af176166e865a03a39d79c08213b745c35f073ebb1080af017ef2e
3
  size 470649364
runs/May26_10-08-38_04e338bea0e4/events.out.tfevents.1716718119.04e338bea0e4.5912.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:90339a801797da7dd34035361644fd08313af5f4296dd23c55b9bf37393f9da4
3
+ size 19054
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4b04b35332e6e272ccc95c9838e013faaf73ea77571f263bb4aa2c90d821381a
3
  size 5112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fafbf800c1d5acfdabe044b03e2a7cdd754ebf9f37f2d65b328d4d51588e11d5
3
  size 5112