Hugging Face's logo

Dagobert42
/
distilbert-base-uncased-biored-augmented

Token Classification
Transformers
Safetensors
English
distilbert
low-resource NER
token_classification
biomedicine
medical NER
Generated from Trainer
Inference Endpoints
Model card Files Community
Dagobert42 commited on
Commit
032a69b
•
1 Parent(s): 8b0cd86

Push ../models/distilbert-base-uncased/biored-augmentations-only/ trained on biored-train_200_splits.pt (200 samples)

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -28,12 +28,12 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the bigbio/biored dataset.
30
  It achieves the following results on the evaluation set:
31
- - Loss: 0.5843
32
- - Accuracy: 0.7932
33
- - Precision: 0.599
34
- - Recall: 0.5407
35
- - F1: 0.5617
36
- - Weighted F1: 0.7888
37
 
38
  ## Model description
39
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
67
- | No log | 1.0 | 25 | 0.6232 | 0.7797 | 0.5883 | 0.4544 | 0.5018 | 0.7583 |
68
- | No log | 2.0 | 50 | 0.6072 | 0.7871 | 0.575 | 0.4951 | 0.5268 | 0.7726 |
69
- | No log | 3.0 | 75 | 0.6059 | 0.7869 | 0.5665 | 0.5208 | 0.5389 | 0.7788 |
70
- | No log | 4.0 | 100 | 0.6088 | 0.791 | 0.5756 | 0.5006 | 0.5282 | 0.7742 |
71
- | No log | 5.0 | 125 | 0.6066 | 0.7916 | 0.5761 | 0.5067 | 0.5361 | 0.7781 |
72
 
73
 
74
  ### Framework versions
 
28
 
29
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the bigbio/biored dataset.
30
  It achieves the following results on the evaluation set:
31
+ - Loss: 0.5688
32
+ - Accuracy: 0.7988
33
+ - Precision: 0.6103
34
+ - Recall: 0.5421
35
+ - F1: 0.5557
36
+ - Weighted F1: 0.7942
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
67
+ | No log | 1.0 | 25 | 0.6074 | 0.7859 | 0.587 | 0.4553 | 0.5026 | 0.7631 |
68
+ | No log | 2.0 | 50 | 0.6028 | 0.7876 | 0.5625 | 0.535 | 0.5376 | 0.7785 |
69
+ | No log | 3.0 | 75 | 0.5867 | 0.7942 | 0.5756 | 0.5357 | 0.5464 | 0.786 |
70
+ | No log | 4.0 | 100 | 0.5924 | 0.7973 | 0.5914 | 0.5259 | 0.5454 | 0.7854 |
71
+ | No log | 5.0 | 125 | 0.5903 | 0.7989 | 0.5754 | 0.5289 | 0.5478 | 0.7876 |
72
 
73
 
74
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:553e9c509d651825d7bd848d5666203dd084fdea17eb03b1371e749afb658e79
3
  size 265485396
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff13978e0b22c219bb9f3451521dd318ed696ee78ea7e849a06381be61ab18ce
3
  size 265485396
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6c9ade04ba101b62b59b2d54c84f47d4825eabe5f4ffb8d31fec5c33cded0810
3
  size 4219
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e477c2660938422113ec29d34dc4018aca4bd4d5a08efd99049958437f1c796b
3
  size 4219