Denyol commited on
Commit
2694965
1 Parent(s): 2f0b680

End of training

Browse files
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: microsoft/deberta-large
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: FakeNews-deberta-large-grad
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
+ # FakeNews-deberta-large-grad
17
+
18
+ This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsoft/deberta-large) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.4159
21
+ - Accuracy: 0.8547
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 5e-05
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 4
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 2
45
+ - total_train_batch_size: 8
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 5
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
54
+ | 0.5255 | 1.0 | 802 | 0.4159 | 0.8547 |
55
+ | 0.4852 | 2.0 | 1605 | 0.4894 | 0.7631 |
56
+ | 0.4849 | 3.0 | 2407 | 0.4670 | 0.7710 |
57
+ | 0.4839 | 4.0 | 3210 | 0.4664 | 0.7729 |
58
+ | 0.5581 | 5.0 | 4010 | 0.7548 | 0.4766 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.35.0
64
+ - Pytorch 2.1.0+cu118
65
+ - Datasets 2.14.6
66
+ - Tokenizers 0.14.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:147bed4d4dd11132c52df3422f0eb64509b9840436f214530f4cc21deaccc40e
3
  size 1624907048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed4aad0b80a3855846c12273488c0e21fda60475ee6e09e593acb2b639cc3c9f
3
  size 1624907048
runs/Nov07_14-23-49_3f763f6117d2/events.out.tfevents.1699367045.3f763f6117d2.298.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1d4263995c388dd6e9cc3a34767200bdc16a81ff75e0a2a6ea27e81bdf8fbe17
3
- size 7270
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:114a7c65eae5bbbcfc7a0a7d4575a910a5573dc9e0973c18ff0432359f36fa44
3
+ size 7624
runs/Nov07_14-23-49_3f763f6117d2/events.out.tfevents.1699371226.3f763f6117d2.298.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d041cf04daa9327438f0883c084380425164ab6b6cf478d91227dd77c82f8ea
3
+ size 411