update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: t5-large-finetuned-NL2BASH-customv3
|
7 |
+
results: []
|
8 |
+
---
|
9 |
+
|
10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
+
should probably proofread and complete it, then remove this comment. -->
|
12 |
+
|
13 |
+
# t5-large-finetuned-NL2BASH-customv3
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-finetuned-English-to-BASH) on the None dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.5034
|
18 |
+
- Nl2bash M: 0.8858
|
19 |
+
- Gen Len: 13.4256
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 0.0001
|
39 |
+
- train_batch_size: 5
|
40 |
+
- eval_batch_size: 5
|
41 |
+
- seed: 42
|
42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
43 |
+
- lr_scheduler_type: linear
|
44 |
+
- num_epochs: 5
|
45 |
+
|
46 |
+
### Training results
|
47 |
+
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
|
49 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
|
50 |
+
| No log | 1.0 | 387 | 0.5434 | 0.8332 | 13.438 |
|
51 |
+
| 0.7237 | 2.0 | 774 | 0.4849 | 0.8452 | 13.3306 |
|
52 |
+
| 0.3283 | 3.0 | 1161 | 0.4653 | 0.8723 | 13.3884 |
|
53 |
+
| 0.2188 | 4.0 | 1548 | 0.4811 | 0.8784 | 13.6405 |
|
54 |
+
| 0.2188 | 5.0 | 1935 | 0.5034 | 0.8858 | 13.4256 |
|
55 |
+
|
56 |
+
|
57 |
+
### Framework versions
|
58 |
+
|
59 |
+
- Transformers 4.26.1
|
60 |
+
- Pytorch 1.13.1
|
61 |
+
- Datasets 2.6.1
|
62 |
+
- Tokenizers 0.11.0
|