Hugging Face's logo

sohamtiwari3120
/
deberta-v3-base-finetuned-ner

Token Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
Model card Files Community
1
sohamtiwari3120 commited on
Commit
87f2d47
·
1 Parent(s): 406e7b1

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -7
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the generator dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 1.1356
20
  - Overall Precision: 0.0
21
  - Overall Recall: 0.0
22
  - Overall F1: 0.0
@@ -47,7 +47,7 @@ More information needed
47
 
48
  The following hyperparameters were used during training:
49
  - learning_rate: 0.001
50
- - train_batch_size: 2
51
  - eval_batch_size: 8
52
  - seed: 42
53
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -58,11 +58,12 @@ The following hyperparameters were used during training:
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Datasetname F1 | Hyperparametername F1 | Hyperparametervalue F1 | Methodname F1 | Metricname F1 | Metricvalue F1 | Taskname F1 |
60
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:---------------------:|:----------------------:|:-------------:|:-------------:|:--------------:|:-----------:|
61
- | No log | 1.0 | 282 | 1.2013 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
62
- | 0.9367 | 2.0 | 564 | 1.0731 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
63
- | 0.9367 | 3.0 | 846 | 1.0889 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
64
- | 0.9128 | 4.0 | 1128 | 1.0884 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
65
- | 0.9128 | 5.0 | 1410 | 1.1356 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
 
66
 
67
 
68
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the generator dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.9078
20
  - Overall Precision: 0.0
21
  - Overall Recall: 0.0
22
  - Overall F1: 0.0
 
47
 
48
  The following hyperparameters were used during training:
49
  - learning_rate: 0.001
50
+ - train_batch_size: 4
51
  - eval_batch_size: 8
52
  - seed: 42
53
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Datasetname F1 | Hyperparametername F1 | Hyperparametervalue F1 | Methodname F1 | Metricname F1 | Metricvalue F1 | Taskname F1 |
60
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:---------------------:|:----------------------:|:-------------:|:-------------:|:--------------:|:-----------:|
61
+ | No log | 1.0 | 141 | 1.8292 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
62
+ | No log | 2.0 | 282 | 1.8221 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
63
+ | No log | 3.0 | 423 | 1.8244 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
64
+ | 1.6685 | 4.0 | 564 | 1.8683 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
65
+ | 1.6685 | 5.0 | 705 | 1.9146 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
66
+ | 1.6685 | 6.0 | 846 | 1.9078 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
67
 
68
 
69
  ### Framework versions