Model save
Browse files- README.md +72 -0
- generation_config.json +6 -0
README.md
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
model-index:
|
5 |
+
- name: ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch_128
|
6 |
+
results: []
|
7 |
+
---
|
8 |
+
|
9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
10 |
+
should probably proofread and complete it, then remove this comment. -->
|
11 |
+
|
12 |
+
# ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch_128
|
13 |
+
|
14 |
+
This model was trained from scratch on an unknown dataset.
|
15 |
+
It achieves the following results on the evaluation set:
|
16 |
+
- Loss: 0.0225
|
17 |
+
- Rouge2 Precision: 0.8419
|
18 |
+
- Rouge2 Recall: 0.5664
|
19 |
+
- Rouge2 Fmeasure: 0.6439
|
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: 5e-05
|
39 |
+
- train_batch_size: 15
|
40 |
+
- eval_batch_size: 16
|
41 |
+
- seed: 42
|
42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
43 |
+
- lr_scheduler_type: linear
|
44 |
+
- num_epochs: 15
|
45 |
+
|
46 |
+
### Training results
|
47 |
+
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|
49 |
+
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
|
50 |
+
| 0.2971 | 1.0 | 1293 | 0.1770 | 0.5043 | 0.3352 | 0.3788 |
|
51 |
+
| 0.1766 | 2.0 | 2586 | 0.1177 | 0.5844 | 0.3896 | 0.4412 |
|
52 |
+
| 0.1416 | 3.0 | 3879 | 0.0899 | 0.6329 | 0.4197 | 0.4773 |
|
53 |
+
| 0.1108 | 4.0 | 5172 | 0.0700 | 0.6794 | 0.4555 | 0.5171 |
|
54 |
+
| 0.0962 | 5.0 | 6465 | 0.0562 | 0.7204 | 0.4823 | 0.5478 |
|
55 |
+
| 0.0814 | 6.0 | 7758 | 0.0473 | 0.7503 | 0.5072 | 0.5746 |
|
56 |
+
| 0.0709 | 7.0 | 9051 | 0.0405 | 0.7655 | 0.5153 | 0.5845 |
|
57 |
+
| 0.0651 | 8.0 | 10344 | 0.0358 | 0.7863 | 0.5298 | 0.601 |
|
58 |
+
| 0.0589 | 9.0 | 11637 | 0.0312 | 0.7996 | 0.538 | 0.6108 |
|
59 |
+
| 0.0553 | 10.0 | 12930 | 0.0288 | 0.8123 | 0.5482 | 0.6218 |
|
60 |
+
| 0.0515 | 11.0 | 14223 | 0.0262 | 0.8229 | 0.553 | 0.6283 |
|
61 |
+
| 0.0487 | 12.0 | 15516 | 0.0246 | 0.8247 | 0.555 | 0.6304 |
|
62 |
+
| 0.0466 | 13.0 | 16809 | 0.0236 | 0.835 | 0.5611 | 0.6377 |
|
63 |
+
| 0.0445 | 14.0 | 18102 | 0.0227 | 0.8414 | 0.5662 | 0.6435 |
|
64 |
+
| 0.044 | 15.0 | 19395 | 0.0225 | 0.8419 | 0.5664 | 0.6439 |
|
65 |
+
|
66 |
+
|
67 |
+
### Framework versions
|
68 |
+
|
69 |
+
- Transformers 4.38.2
|
70 |
+
- Pytorch 2.2.0
|
71 |
+
- Datasets 2.16.1
|
72 |
+
- Tokenizers 0.15.1
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"decoder_start_token_id": 0,
|
3 |
+
"eos_token_id": 1,
|
4 |
+
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.38.2"
|
6 |
+
}
|