Hugging Face's logo

tvtcm
/
bert-base-portuguese-cased-finetuned-ner

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
tvtcm commited on
Commit
c842dc7
•
1 Parent(s): 5740b17

Model save

Browse files
Files changed (4) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Nov14_16-49-55_ca8741d66a59/events.out.tfevents.1699980623.ca8741d66a59.1396.0 +2 -2
  4. runs/Nov14_16-49-55_ca8741d66a59/events.out.tfevents.1699981392.ca8741d66a59.1396.1 +3 -0
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 [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.0433
24
- - Precision: 0.4043
25
- - Recall: 0.3239
26
- - F1: 0.3596
27
- - Accuracy: 0.9904
28
 
29
  ## Model description
30
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | No log | 1.0 | 111 | 0.0564 | 0.0 | 0.0 | 0.0 | 0.9884 |
59
- | No log | 2.0 | 222 | 0.0448 | 0.2871 | 0.1648 | 0.2094 | 0.9896 |
60
- | No log | 3.0 | 333 | 0.0433 | 0.4043 | 0.3239 | 0.3596 | 0.9904 |
61
 
62
 
63
  ### Framework versions
64
 
65
- - Transformers 4.35.0
66
  - Pytorch 2.1.0+cu118
67
  - Datasets 2.14.6
68
  - Tokenizers 0.14.1
 
20
 
21
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0290
24
+ - Precision: 0.6824
25
+ - Recall: 0.6809
26
+ - F1: 0.6817
27
+ - Accuracy: 0.9932
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 1.0 | 222 | 0.0528 | 0.3333 | 0.2591 | 0.2916 | 0.9860 |
59
+ | No log | 2.0 | 444 | 0.0342 | 0.5688 | 0.6017 | 0.5848 | 0.9922 |
60
+ | 0.0837 | 3.0 | 666 | 0.0290 | 0.6824 | 0.6809 | 0.6817 | 0.9932 |
61
 
62
 
63
  ### Framework versions
64
 
65
+ - Transformers 4.35.1
66
  - Pytorch 2.1.0+cu118
67
  - Datasets 2.14.6
68
  - Tokenizers 0.14.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8039573da3c8d54c02d60a57cd84c93c11aa70b2bf65d1181c9175a4899c97ce
3
  size 433393508
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b46e0c3c8b45a1676a1226b7ea11718892ce14825c79d5a0449cc7a0dceb900
3
  size 433393508
runs/Nov14_16-49-55_ca8741d66a59/events.out.tfevents.1699980623.ca8741d66a59.1396.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:59af3759db61f80ee6d1df615b9a62c46e339cabbbf0f495c8b72ce96935bc3c
3
- size 6121
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27cc6eaf7fa4a333b13dec90efd5d500812c35ef817c3b8c0fcca1b963977d5b
3
+ size 6947
runs/Nov14_16-49-55_ca8741d66a59/events.out.tfevents.1699981392.ca8741d66a59.1396.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ccec24b380d1e0f0c8f29a02561e54eec64f52943a65d3e3cf103d22b20c2f37
3
+ size 560