Hugging Face's logo

kevinum
/
t5-v1_1-base-finetuned-English-to-BASH

Text2Text Generation
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
Model card Files Metrics Community
1
kevinum commited on
Commit
ab9cfa7
·
1 Parent(s): 6bd28d4

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +15 -18
README.md CHANGED
@@ -2,8 +2,6 @@
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
5
- metrics:
6
- - bleu
7
  model-index:
8
  - name: t5-v1_1-base-finetuned-English-to-BASH
9
  results: []
@@ -16,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: nan
20
- - Bleu: 4.2827
21
- - Gen Len: 18.7765
22
 
23
  ## Model description
24
 
@@ -44,22 +42,21 @@ The following hyperparameters were used during training:
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
  - num_epochs: 10
47
- - mixed_precision_training: Native AMP
48
 
49
  ### Training results
50
 
51
- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
52
- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
53
- | No log | 1.0 | 387 | nan | 4.2827 | 18.7765 |
54
- | 0.0 | 2.0 | 774 | nan | 4.2827 | 18.7765 |
55
- | 0.0 | 3.0 | 1161 | nan | 4.2827 | 18.7765 |
56
- | 0.0 | 4.0 | 1548 | nan | 4.2827 | 18.7765 |
57
- | 0.0 | 5.0 | 1935 | nan | 4.2827 | 18.7765 |
58
- | 0.0 | 6.0 | 2322 | nan | 4.2827 | 18.7765 |
59
- | 0.0 | 7.0 | 2709 | nan | 4.2827 | 18.7765 |
60
- | 0.0 | 8.0 | 3096 | nan | 4.2827 | 18.7765 |
61
- | 0.0 | 9.0 | 3483 | nan | 4.2827 | 18.7765 |
62
- | 0.0 | 10.0 | 3870 | nan | 4.2827 | 18.7765 |
63
 
64
 
65
  ### Framework versions
 
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
 
 
5
  model-index:
6
  - name: t5-v1_1-base-finetuned-English-to-BASH
7
  results: []
 
14
 
15
  This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.7958
18
+ - Nl2bash M: 0.6179
19
+ - Gen Len: 14.0821
20
 
21
  ## Model description
22
 
 
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
  - num_epochs: 10
 
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
49
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
50
+ | 4.7401 | 1.0 | 561 | 1.6374 | 0.258 | 12.9715 |
51
+ | 1.9636 | 2.0 | 1122 | 1.2574 | 0.345 | 14.4728 |
52
+ | 1.5349 | 3.0 | 1683 | 1.0844 | 0.3873 | 14.5727 |
53
+ | 1.3565 | 4.0 | 2244 | 0.9777 | 0.4705 | 14.3506 |
54
+ | 1.2006 | 5.0 | 2805 | 0.8995 | 0.5536 | 14.2159 |
55
+ | 1.0931 | 6.0 | 3366 | 0.8622 | 0.5848 | 14.0883 |
56
+ | 1.0008 | 7.0 | 3927 | 0.8261 | 0.603 | 14.1401 |
57
+ | 0.952 | 8.0 | 4488 | 0.8146 | 0.6145 | 13.9322 |
58
+ | 0.8829 | 9.0 | 5049 | 0.8013 | 0.6185 | 13.9715 |
59
+ | 0.8657 | 10.0 | 5610 | 0.7958 | 0.6179 | 14.0821 |
60
 
61
 
62
  ### Framework versions