Hugging Face's logo

ghazikhanihamed
/
TooT-PLM-P2S

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
ghazikhanihamed commited on
Commit
2231e04
·
1 Parent(s): 559460b

PLM-Secondary-Structure-Generation

Browse files
Files changed (3) hide show
  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [ElnaggarLab/ankh-base](https://huggingface.co/ElnaggarLab/ankh-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.1469
19
- - Q3 Accuracy: 0.5912
20
 
21
  ## Model description
22
 
@@ -35,7 +35,7 @@ More information needed
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
- - learning_rate: 0.0001
39
  - train_batch_size: 1
40
  - eval_batch_size: 1
41
  - seed: 7
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Q3 Accuracy |
55
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
56
- | 0.166 | 1.0 | 635 | 0.1615 | 0.4852 |
57
- | 0.1593 | 2.0 | 1271 | 0.1560 | 0.3906 |
58
- | 0.1514 | 3.0 | 1907 | 0.1533 | 0.3748 |
59
- | 0.1516 | 4.0 | 2543 | 0.1498 | 0.7952 |
60
- | 0.1487 | 4.99 | 3175 | 0.1469 | 0.5912 |
61
 
62
 
63
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [ElnaggarLab/ankh-base](https://huggingface.co/ElnaggarLab/ankh-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1622
19
+ - Q3 Accuracy: 0.4790
20
 
21
  ## Model description
22
 
 
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
+ - learning_rate: 0.001
39
  - train_batch_size: 1
40
  - eval_batch_size: 1
41
  - seed: 7
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Q3 Accuracy |
55
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
56
+ | 0.3368 | 1.0 | 635 | 0.1976 | 0.4790 |
57
+ | 0.1696 | 2.0 | 1271 | 0.1658 | 0.4790 |
58
+ | 0.1631 | 3.0 | 1907 | 0.1645 | 0.4790 |
59
+ | 0.1647 | 4.0 | 2543 | 0.1632 | 0.4790 |
60
+ | 0.1638 | 4.99 | 3175 | 0.1622 | 0.4790 |
61
 
62
 
63
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0ca6179e442593b6dd0a6e73a0d44e398e7da37d27489d7b44f5f53274c2f958
3
  size 2946957610
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c0aaac696d63cb2fb5b5d5c184b10b15083d3863403836e85f968b4e7ef8704
3
  size 2946957610
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3cbff8d4fa5cfaa5e007fa941cfa80eafe38cc6d79c2aeda30138c1ed01e5f8
3
  size 5880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1ddcdd48faaa32a97b2d0bdf94096ff0d33623c556ab2a4caa01135cf0aa3d3
3
  size 5880