Ali-Das commited on
Commit
55c1b06
·
verified ·
1 Parent(s): 7ff937c

Model save

Browse files
Files changed (2) hide show
  1. README.md +17 -14
  2. generation_config.json +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
3
  base_model: t5-small
4
  tags:
5
  - generated_from_trainer
6
- datasets:
7
- - wikisql
8
  model-index:
9
  - name: t5-small-finetuned-wikisql
10
  results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # t5-small-finetuned-wikisql
17
 
18
- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.1247
21
 
22
  ## Model description
23
 
@@ -42,22 +40,27 @@ The following hyperparameters were used during training:
42
  - seed: 42
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
- - num_epochs: 5
46
 
47
  ### Training results
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:-----:|:---------------:|
51
- | 0.1968 | 1.0 | 4049 | 0.1579 |
52
- | 0.1656 | 2.0 | 8098 | 0.1381 |
53
- | 0.1578 | 3.0 | 12147 | 0.1303 |
54
- | 0.1437 | 4.0 | 16196 | 0.1257 |
55
- | 0.1402 | 5.0 | 20245 | 0.1247 |
 
 
 
 
 
56
 
57
 
58
  ### Framework versions
59
 
60
- - Transformers 4.32.0
61
- - Pytorch 2.0.1+cu118
62
- - Datasets 2.14.4
63
- - Tokenizers 0.13.3
 
3
  base_model: t5-small
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: t5-small-finetuned-wikisql
8
  results: []
 
13
 
14
  # t5-small-finetuned-wikisql
15
 
16
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1098
19
 
20
  ## Model description
21
 
 
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
+ - num_epochs: 10
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:-----:|:---------------:|
49
+ | 0.1985 | 1.0 | 3523 | 0.1566 |
50
+ | 0.164 | 2.0 | 7046 | 0.1360 |
51
+ | 0.1489 | 3.0 | 10569 | 0.1265 |
52
+ | 0.1437 | 4.0 | 14092 | 0.1201 |
53
+ | 0.1317 | 5.0 | 17615 | 0.1163 |
54
+ | 0.1281 | 6.0 | 21138 | 0.1141 |
55
+ | 0.1229 | 7.0 | 24661 | 0.1121 |
56
+ | 0.1189 | 8.0 | 28184 | 0.1105 |
57
+ | 0.1169 | 9.0 | 31707 | 0.1102 |
58
+ | 0.1173 | 10.0 | 35230 | 0.1098 |
59
 
60
 
61
  ### Framework versions
62
 
63
+ - Transformers 4.35.2
64
+ - Pytorch 2.1.0+cu121
65
+ - Datasets 2.17.0
66
+ - Tokenizers 0.15.2
generation_config.json CHANGED
@@ -3,5 +3,5 @@
3
  "decoder_start_token_id": 0,
4
  "eos_token_id": 1,
5
  "pad_token_id": 0,
6
- "transformers_version": "4.32.0"
7
  }
 
3
  "decoder_start_token_id": 0,
4
  "eos_token_id": 1,
5
  "pad_token_id": 0,
6
+ "transformers_version": "4.35.2"
7
  }