Hugging Face's logo

GuiTap
/
xlm-roberta-base-finetuned-ner-lenerBr

Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
GuiTap commited on
Commit
316bba8
•
1 Parent(s): b52a1cc

End of training

Browse files
Files changed (4) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. runs/Jun04_02-16-06_06ac6aa1360e/events.out.tfevents.1717467383.06ac6aa1360e.34.0 +2 -2
  4. runs/Jun04_02-16-06_06ac6aa1360e/events.out.tfevents.1717469785.06ac6aa1360e.34.1 +3 -0
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
25
  metrics:
26
  - name: Precision
27
  type: precision
28
- value: 0.7616079105760963
29
  - name: Recall
30
  type: recall
31
- value: 0.9157405014215559
32
  - name: F1
33
  type: f1
34
- value: 0.8315925360873138
35
  - name: Accuracy
36
  type: accuracy
37
- value: 0.968278871008711
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
44
 
45
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the lener_br dataset.
46
  It achieves the following results on the evaluation set:
47
- - Loss: 0.1525
48
- - Precision: 0.7616
49
- - Recall: 0.9157
50
- - F1: 0.8316
51
- - Accuracy: 0.9683
52
 
53
  ## Model description
54
 
@@ -79,16 +79,16 @@ The following hyperparameters were used during training:
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
- | No log | 1.0 | 245 | 0.1557 | 0.6755 | 0.7609 | 0.7157 | 0.9513 |
83
- | No log | 2.0 | 490 | 0.1627 | 0.6504 | 0.8599 | 0.7407 | 0.9540 |
84
- | 0.2052 | 3.0 | 735 | 0.1459 | 0.7109 | 0.9036 | 0.7957 | 0.9645 |
85
- | 0.2052 | 4.0 | 980 | 0.1590 | 0.7607 | 0.8790 | 0.8156 | 0.9633 |
86
- | 0.0303 | 5.0 | 1225 | 0.1554 | 0.7188 | 0.8987 | 0.7988 | 0.9642 |
87
- | 0.0303 | 6.0 | 1470 | 0.1467 | 0.7333 | 0.9294 | 0.8198 | 0.9654 |
88
- | 0.0171 | 7.0 | 1715 | 0.1356 | 0.7665 | 0.8995 | 0.8277 | 0.9683 |
89
- | 0.0171 | 8.0 | 1960 | 0.1475 | 0.8106 | 0.8935 | 0.8500 | 0.9672 |
90
- | 0.0104 | 9.0 | 2205 | 0.1441 | 0.7607 | 0.9196 | 0.8327 | 0.9690 |
91
- | 0.0104 | 10.0 | 2450 | 0.1525 | 0.7616 | 0.9157 | 0.8316 | 0.9683 |
92
 
93
 
94
  ### Framework versions
 
25
  metrics:
26
  - name: Precision
27
  type: precision
28
+ value: 0.7397260273972602
29
  - name: Recall
30
  type: recall
31
+ value: 0.9211682605324373
32
  - name: F1
33
  type: f1
34
+ value: 0.8205364337515828
35
  - name: Accuracy
36
  type: accuracy
37
+ value: 0.970340819101409
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
44
 
45
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the lener_br dataset.
46
  It achieves the following results on the evaluation set:
47
+ - Loss: 0.1294
48
+ - Precision: 0.7397
49
+ - Recall: 0.9212
50
+ - F1: 0.8205
51
+ - Accuracy: 0.9703
52
 
53
  ## Model description
54
 
 
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
+ | No log | 1.0 | 245 | 0.1569 | 0.7358 | 0.7788 | 0.7567 | 0.9534 |
83
+ | No log | 2.0 | 490 | 0.1310 | 0.6909 | 0.8927 | 0.7790 | 0.9632 |
84
+ | 0.1674 | 3.0 | 735 | 0.1148 | 0.7174 | 0.9119 | 0.8030 | 0.9677 |
85
+ | 0.1674 | 4.0 | 980 | 0.1550 | 0.7209 | 0.8979 | 0.7997 | 0.9658 |
86
+ | 0.0276 | 5.0 | 1225 | 0.1441 | 0.7183 | 0.9173 | 0.8057 | 0.9682 |
87
+ | 0.0276 | 6.0 | 1470 | 0.1482 | 0.7326 | 0.8752 | 0.7976 | 0.9665 |
88
+ | 0.0154 | 7.0 | 1715 | 0.1209 | 0.7418 | 0.9284 | 0.8247 | 0.9710 |
89
+ | 0.0154 | 8.0 | 1960 | 0.1266 | 0.7375 | 0.9243 | 0.8204 | 0.9708 |
90
+ | 0.0096 | 9.0 | 2205 | 0.1394 | 0.7356 | 0.9147 | 0.8154 | 0.9690 |
91
+ | 0.0096 | 10.0 | 2450 | 0.1294 | 0.7397 | 0.9212 | 0.8205 | 0.9703 |
92
 
93
 
94
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fdb2939cdc744d00aac06ca4fdb48ad31e6c5c884cda79b2ffac30ce8029698d
3
  size 1109876260
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f44d4703bd277eae47aedaf6e7bb00634a3d48713336c291f009dd901df1b996
3
  size 1109876260
runs/Jun04_02-16-06_06ac6aa1360e/events.out.tfevents.1717467383.06ac6aa1360e.34.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3bbe1d1daae61e12ee1f34ca94e17ce87ac090bb73ee45bf841aee841688e1e6
3
- size 10101
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f165e595d8188bec7c9da5ffb61d44111a6cb65286ac0102ad389cc02a4b0d15
3
+ size 11399
runs/Jun04_02-16-06_06ac6aa1360e/events.out.tfevents.1717469785.06ac6aa1360e.34.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd9ffbf2cdd1fade0a0bdfcd1a0478a33ec591e7610be288239eaf2934936bf7
3
+ size 560