Hugging Face's logo

eovdedn
/
bert_essay

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
eovdedn commited on
Commit
3dbf80a
·
verified ·
1 Parent(s): 4df07f4

eovdedn/bert_essay

Browse files
Files changed (4) hide show
  1. README.md +18 -10
  2. model.safetensors +1 -1
  3. runs/May02_15-59-05_f87be7dee12d/events.out.tfevents.1714665546.f87be7dee12d.35.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -6,22 +6,22 @@ tags:
6
  metrics:
7
  - accuracy
8
  model-index:
9
- - name: essay_score
10
  results: []
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
  should probably proofread and complete it, then remove this comment. -->
15
 
16
- # essay_score
17
 
18
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.3566
21
- - Mse: 0.3566
22
- - Mae: 0.4629
23
- - R2: 0.6715
24
- - Accuracy: 0.2789
25
 
26
  ## Model description
27
 
@@ -46,14 +46,22 @@ The following hyperparameters were used during training:
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
- - num_epochs: 2
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
55
- | 0.6508 | 1.0 | 866 | 0.4269 | 0.4269 | 0.5067 | 0.6067 | 0.2917 |
56
- | 0.3457 | 2.0 | 1732 | 0.3566 | 0.3566 | 0.4629 | 0.6715 | 0.2789 |
 
 
 
 
 
 
 
 
57
 
58
 
59
  ### Framework versions
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
+ - name: bert_essay
10
  results: []
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
  should probably proofread and complete it, then remove this comment. -->
15
 
16
+ # bert_essay
17
 
18
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.3910
21
+ - Mse: 0.3910
22
+ - Mae: 0.4864
23
+ - R2: 0.6456
24
+ - Accuracy: 0.2734
25
 
26
  ## Model description
27
 
 
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
+ - num_epochs: 10
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
55
+ | 0.6884 | 1.0 | 866 | 0.3664 | 0.3664 | 0.4744 | 0.6679 | 0.2812 |
56
+ | 0.3801 | 2.0 | 1732 | 0.3550 | 0.3550 | 0.4630 | 0.6782 | 0.2822 |
57
+ | 0.3063 | 3.0 | 2598 | 0.3723 | 0.3723 | 0.4736 | 0.6626 | 0.2761 |
58
+ | 0.2386 | 4.0 | 3464 | 0.3965 | 0.3965 | 0.4895 | 0.6406 | 0.2697 |
59
+ | 0.1751 | 5.0 | 4330 | 0.3718 | 0.3718 | 0.4732 | 0.6630 | 0.2754 |
60
+ | 0.1335 | 6.0 | 5196 | 0.3815 | 0.3815 | 0.4793 | 0.6542 | 0.2759 |
61
+ | 0.102 | 7.0 | 6062 | 0.3872 | 0.3872 | 0.4835 | 0.6490 | 0.2813 |
62
+ | 0.0879 | 8.0 | 6928 | 0.3998 | 0.3998 | 0.4911 | 0.6376 | 0.2707 |
63
+ | 0.0718 | 9.0 | 7794 | 0.3892 | 0.3892 | 0.4848 | 0.6472 | 0.2728 |
64
+ | 0.0621 | 10.0 | 8660 | 0.3910 | 0.3910 | 0.4864 | 0.6456 | 0.2734 |
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7176d6c7de9434d684ca581692730e1492885f1e5f9d60ffe3dd8e45bb19d179
3
  size 267829484
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f38222a3ef9c5197244d09b46c8efe21fa1e48da47b428de2582d09096e380c
3
  size 267829484
runs/May02_15-59-05_f87be7dee12d/events.out.tfevents.1714665546.f87be7dee12d.35.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d10b7c8ffb8067614704afaee5bd407141f245344a427bbe86aa9b73f4b3e9f
3
+ size 13140
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f724c8de9170f4847cb1bf566886aa65f6d1c1b19bb311c6a7bedc0c4928eca2
3
  size 4920
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b75a6cb64e4b2bc622451ec2ec5432d8344657b43ba9ea88be94c274b9a36eae
3
  size 4920