Hugging Face's logo

mdroth
/
bert-finetuned-ner

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
mdroth commited on
Commit
3875137
•
1 Parent(s): ed1ebbc

Commit 1

Browse files
Files changed (3) hide show
  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
25
  metrics:
26
  - name: Precision
27
  type: precision
28
- value: 0.7833402370948971
29
  - name: Recall
30
  type: recall
31
  value: 0.8147760612215589
32
  - name: F1
33
  type: f1
34
- value: 0.798748969206943
35
  - name: Accuracy
36
  type: accuracy
37
- value: 0.9425415670481714
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/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the few-nerd dataset.
46
  It achieves the following results on the evaluation set:
47
- - Loss: 0.2154
48
- - Precision: 0.7833
49
  - Recall: 0.8148
50
- - F1: 0.7987
51
- - Accuracy: 0.9425
52
 
53
  ## Model description
54
 
@@ -79,9 +79,9 @@ The following hyperparameters were used during training:
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
- | 0.1957 | 1.0 | 32942 | 0.1963 | 0.7533 | 0.7992 | 0.7756 | 0.9386 |
83
- | 0.1596 | 2.0 | 65884 | 0.2025 | 0.7768 | 0.8063 | 0.7913 | 0.9416 |
84
- | 0.1207 | 3.0 | 98826 | 0.2154 | 0.7833 | 0.8148 | 0.7987 | 0.9425 |
85
 
86
 
87
  ### Framework versions
 
25
  metrics:
26
  - name: Precision
27
  type: precision
28
+ value: 0.7844853130000198
29
  - name: Recall
30
  type: recall
31
  value: 0.8147760612215589
32
  - name: F1
33
  type: f1
34
+ value: 0.799343826738054
35
  - name: Accuracy
36
  type: accuracy
37
+ value: 0.9428779215112315
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/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the few-nerd dataset.
46
  It achieves the following results on the evaluation set:
47
+ - Loss: 0.2164
48
+ - Precision: 0.7845
49
  - Recall: 0.8148
50
+ - F1: 0.7993
51
+ - Accuracy: 0.9429
52
 
53
  ## Model description
54
 
 
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
+ | 0.1953 | 1.0 | 32942 | 0.1933 | 0.7670 | 0.7968 | 0.7816 | 0.9395 |
83
+ | 0.1573 | 2.0 | 65884 | 0.2051 | 0.7850 | 0.8034 | 0.7941 | 0.9416 |
84
+ | 0.1256 | 3.0 | 98826 | 0.2164 | 0.7845 | 0.8148 | 0.7993 | 0.9429 |
85
 
86
 
87
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7e57fc58e48e854e51bbd243cc40534a8dad25924f828725bad0a8d1181704c0
3
  size 1417325484
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c12f330db88fd7ad16c9f7b2c294c410ceac1406e4e666ec2e80fb8d54ec877
3
  size 1417325484
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8a45f7688d7fa188cd32f8cc229a17aec1b0e243797ee4689e48ac4890ba78e3
3
  size 4600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45bb790c76de50c19ed55cce3fbd5a36ce20cd2c8b07b9d0c473787430fbadbf
3
  size 4600