Hugging Face's logo

adriansanz
/
2504v3

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
adriansanz commited on
Commit
1c23a51
•
1 Parent(s): 667d66c

End of training

Browse files
Files changed (3) hide show
  1. README.md +123 -0
  2. logs/events.out.tfevents.1714038307.fbbc666e7829.7120.0 +2 -2
  3. logs/events.out.tfevents.1714039853.fbbc666e7829.7120.1 +3 -0
README.md ADDED
@@ -0,0 +1,123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: projecte-aina/roberta-base-ca-v2-cased-te
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - precision
9
+ - recall
10
+ - f1
11
+ model-index:
12
+ - name: 2504v3
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # 2504v3
20
+
21
+ This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.6951
24
+ - Accuracy: 0.8487
25
+ - Precision: 0.8488
26
+ - Recall: 0.8487
27
+ - F1: 0.8487
28
+ - Ratio: 0.4916
29
+
30
+ ## Model description
31
+
32
+ More information needed
33
+
34
+ ## Intended uses & limitations
35
+
36
+ More information needed
37
+
38
+ ## Training and evaluation data
39
+
40
+ More information needed
41
+
42
+ ## Training procedure
43
+
44
+ ### Training hyperparameters
45
+
46
+ The following hyperparameters were used during training:
47
+ - learning_rate: 2e-05
48
+ - train_batch_size: 10
49
+ - eval_batch_size: 2
50
+ - seed: 42
51
+ - gradient_accumulation_steps: 2
52
+ - total_train_batch_size: 20
53
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
54
+ - lr_scheduler_type: linear
55
+ - lr_scheduler_warmup_ratio: 0.06
56
+ - num_epochs: 10
57
+ - label_smoothing_factor: 0.1
58
+
59
+ ### Training results
60
+
61
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
62
+ |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
63
+ | 5.617 | 0.1626 | 10 | 5.2818 | 0.1471 | 0.4233 | 0.0980 | 0.1518 | 0.1891 |
64
+ | 2.9819 | 0.3252 | 20 | 1.8921 | 0.5462 | 0.3817 | 0.3641 | 0.3655 | 0.6134 |
65
+ | 1.4506 | 0.4878 | 30 | 1.3671 | 0.5378 | 0.5459 | 0.5378 | 0.5165 | 0.2899 |
66
+ | 1.112 | 0.6504 | 40 | 0.8974 | 0.6261 | 0.6268 | 0.6261 | 0.6255 | 0.4622 |
67
+ | 0.872 | 0.8130 | 50 | 0.7909 | 0.7017 | 0.7320 | 0.7017 | 0.6916 | 0.6807 |
68
+ | 0.8282 | 0.9756 | 60 | 0.7232 | 0.7605 | 0.7614 | 0.7605 | 0.7603 | 0.4706 |
69
+ | 0.7528 | 1.1382 | 70 | 0.6917 | 0.7647 | 0.7654 | 0.7647 | 0.7646 | 0.5252 |
70
+ | 0.7292 | 1.3008 | 80 | 0.6830 | 0.7773 | 0.7789 | 0.7773 | 0.7770 | 0.5378 |
71
+ | 0.6003 | 1.4634 | 90 | 0.6686 | 0.7857 | 0.7968 | 0.7857 | 0.7837 | 0.5966 |
72
+ | 0.6511 | 1.6260 | 100 | 0.6301 | 0.8067 | 0.8071 | 0.8067 | 0.8067 | 0.5168 |
73
+ | 0.5804 | 1.7886 | 110 | 0.6498 | 0.7983 | 0.8004 | 0.7983 | 0.7980 | 0.4580 |
74
+ | 0.6096 | 1.9512 | 120 | 0.6107 | 0.8151 | 0.8152 | 0.8151 | 0.8151 | 0.5084 |
75
+ | 0.6082 | 2.1138 | 130 | 0.6035 | 0.8277 | 0.8283 | 0.8277 | 0.8277 | 0.4790 |
76
+ | 0.5099 | 2.2764 | 140 | 0.6308 | 0.8151 | 0.8155 | 0.8151 | 0.8151 | 0.5168 |
77
+ | 0.5049 | 2.4390 | 150 | 0.6372 | 0.8361 | 0.8381 | 0.8361 | 0.8359 | 0.5378 |
78
+ | 0.4987 | 2.6016 | 160 | 0.6228 | 0.8445 | 0.8446 | 0.8445 | 0.8445 | 0.5042 |
79
+ | 0.6128 | 2.7642 | 170 | 0.6122 | 0.8487 | 0.8488 | 0.8487 | 0.8487 | 0.4916 |
80
+ | 0.5384 | 2.9268 | 180 | 0.6065 | 0.8277 | 0.8346 | 0.8277 | 0.8268 | 0.5714 |
81
+ | 0.4899 | 3.0894 | 190 | 0.6652 | 0.8151 | 0.8195 | 0.8151 | 0.8145 | 0.4412 |
82
+ | 0.4299 | 3.2520 | 200 | 0.6596 | 0.8487 | 0.8512 | 0.8487 | 0.8485 | 0.5420 |
83
+ | 0.4523 | 3.4146 | 210 | 0.7557 | 0.8067 | 0.8110 | 0.8067 | 0.8061 | 0.4412 |
84
+ | 0.4542 | 3.5772 | 220 | 0.6954 | 0.8277 | 0.8283 | 0.8277 | 0.8277 | 0.4790 |
85
+ | 0.4587 | 3.7398 | 230 | 0.6812 | 0.8319 | 0.8323 | 0.8319 | 0.8319 | 0.4832 |
86
+ | 0.4816 | 3.9024 | 240 | 0.6309 | 0.8613 | 0.8634 | 0.8613 | 0.8611 | 0.5378 |
87
+ | 0.4866 | 4.0650 | 250 | 0.6423 | 0.8487 | 0.8503 | 0.8487 | 0.8486 | 0.5336 |
88
+ | 0.363 | 4.2276 | 260 | 0.6763 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.5126 |
89
+ | 0.399 | 4.3902 | 270 | 0.7227 | 0.8361 | 0.8367 | 0.8361 | 0.8361 | 0.4790 |
90
+ | 0.3862 | 4.5528 | 280 | 0.6777 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.5126 |
91
+ | 0.4815 | 4.7154 | 290 | 0.6559 | 0.8529 | 0.8532 | 0.8529 | 0.8529 | 0.5126 |
92
+ | 0.4548 | 4.8780 | 300 | 0.6757 | 0.8403 | 0.8451 | 0.8403 | 0.8398 | 0.4412 |
93
+ | 0.3675 | 5.0407 | 310 | 0.6526 | 0.8487 | 0.8491 | 0.8487 | 0.8487 | 0.5168 |
94
+ | 0.3626 | 5.2033 | 320 | 0.6815 | 0.8529 | 0.8532 | 0.8529 | 0.8529 | 0.5126 |
95
+ | 0.4256 | 5.3659 | 330 | 0.6904 | 0.8529 | 0.8532 | 0.8529 | 0.8529 | 0.4874 |
96
+ | 0.4515 | 5.5285 | 340 | 0.6561 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.5252 |
97
+ | 0.3661 | 5.6911 | 350 | 0.6681 | 0.8487 | 0.8491 | 0.8487 | 0.8487 | 0.5168 |
98
+ | 0.3792 | 5.8537 | 360 | 0.6740 | 0.8487 | 0.8487 | 0.8487 | 0.8487 | 0.5 |
99
+ | 0.4327 | 6.0163 | 370 | 0.6649 | 0.8487 | 0.8487 | 0.8487 | 0.8487 | 0.5 |
100
+ | 0.3426 | 6.1789 | 380 | 0.6462 | 0.8487 | 0.8503 | 0.8487 | 0.8486 | 0.5336 |
101
+ | 0.3329 | 6.3415 | 390 | 0.6767 | 0.8529 | 0.8550 | 0.8529 | 0.8527 | 0.5378 |
102
+ | 0.415 | 6.5041 | 400 | 0.7001 | 0.8445 | 0.8448 | 0.8445 | 0.8445 | 0.4874 |
103
+ | 0.388 | 6.6667 | 410 | 0.7217 | 0.8445 | 0.8457 | 0.8445 | 0.8444 | 0.4706 |
104
+ | 0.3585 | 6.8293 | 420 | 0.7232 | 0.8445 | 0.8457 | 0.8445 | 0.8444 | 0.4706 |
105
+ | 0.3657 | 6.9919 | 430 | 0.6943 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.4748 |
106
+ | 0.3366 | 7.1545 | 440 | 0.6999 | 0.8529 | 0.8536 | 0.8529 | 0.8529 | 0.4790 |
107
+ | 0.3497 | 7.3171 | 450 | 0.6797 | 0.8613 | 0.8614 | 0.8613 | 0.8613 | 0.5042 |
108
+ | 0.3219 | 7.4797 | 460 | 0.6905 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.5252 |
109
+ | 0.3459 | 7.6423 | 470 | 0.6872 | 0.8613 | 0.8614 | 0.8613 | 0.8613 | 0.5042 |
110
+ | 0.3669 | 7.8049 | 480 | 0.6941 | 0.8529 | 0.8536 | 0.8529 | 0.8529 | 0.4790 |
111
+ | 0.3888 | 7.9675 | 490 | 0.7014 | 0.8487 | 0.8496 | 0.8487 | 0.8486 | 0.4748 |
112
+ | 0.2989 | 8.1301 | 500 | 0.6951 | 0.8487 | 0.8488 | 0.8487 | 0.8487 | 0.4916 |
113
+ | 0.3743 | 8.2927 | 510 | 0.7026 | 0.8487 | 0.8488 | 0.8487 | 0.8487 | 0.4916 |
114
+ | 0.3086 | 8.4553 | 520 | 0.7182 | 0.8529 | 0.8532 | 0.8529 | 0.8529 | 0.4874 |
115
+ | 0.3251 | 8.6179 | 530 | 0.7135 | 0.8529 | 0.8532 | 0.8529 | 0.8529 | 0.4874 |
116
+
117
+
118
+ ### Framework versions
119
+
120
+ - Transformers 4.40.0
121
+ - Pytorch 2.2.1+cu121
122
+ - Datasets 2.19.0
123
+ - Tokenizers 0.19.1
logs/events.out.tfevents.1714038307.fbbc666e7829.7120.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:79952fe1ea731a4a3c5e3210e3b78ac4eb63262cd80dde675ade904a7464c103
3
- size 42029
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5984e4347cdf98b9e9908154cd36d6c42dd1df50d4ae1b7f795d48b43085c76
3
+ size 44579
logs/events.out.tfevents.1714039853.fbbc666e7829.7120.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5886b84a44f1d5acda377739b820888469884e15178db7abffe8ed1556be4b6a
3
+ size 1130