badokorach commited on
Commit
2164040
1 Parent(s): 5e797e2

Model save

Browse files
Files changed (1) hide show
  1. README.md +19 -14
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
3
- base_model: google/flan-t5-small
4
  tags:
5
  - generated_from_trainer
6
  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # flan-t5-small-qa-91
15
 
16
- This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.0637
19
 
20
  ## Model description
21
 
@@ -40,22 +40,27 @@ The following hyperparameters were used during training:
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
- | 4.454 | 1.0 | 500 | 0.0573 |
50
- | 0.174 | 2.0 | 1000 | 0.0556 |
51
- | 0.1561 | 3.0 | 1500 | 0.0574 |
52
- | 0.1496 | 4.0 | 2000 | 0.0618 |
53
- | 0.145 | 5.0 | 2500 | 0.0613 |
54
- | 0.142 | 6.0 | 3000 | 0.0626 |
55
- | 0.1398 | 7.0 | 3500 | 0.0637 |
56
- | 0.138 | 8.0 | 4000 | 0.0634 |
57
- | 0.1369 | 9.0 | 4500 | 0.0635 |
58
- | 0.1364 | 10.0 | 5000 | 0.0637 |
 
 
 
 
 
59
 
60
 
61
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: badokorach/flan-t5-small-qa-91
4
  tags:
5
  - generated_from_trainer
6
  model-index:
 
13
 
14
  # flan-t5-small-qa-91
15
 
16
+ This model is a fine-tuned version of [badokorach/flan-t5-small-qa-91](https://huggingface.co/badokorach/flan-t5-small-qa-91) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.0708
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: 15
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 0.1348 | 1.0 | 500 | 0.0650 |
50
+ | 0.1293 | 2.0 | 1000 | 0.0656 |
51
+ | 0.1262 | 3.0 | 1500 | 0.0661 |
52
+ | 0.1241 | 4.0 | 2000 | 0.0692 |
53
+ | 0.1218 | 5.0 | 2500 | 0.0673 |
54
+ | 0.1205 | 6.0 | 3000 | 0.0692 |
55
+ | 0.1191 | 7.0 | 3500 | 0.0688 |
56
+ | 0.1179 | 8.0 | 4000 | 0.0689 |
57
+ | 0.1171 | 9.0 | 4500 | 0.0700 |
58
+ | 0.1165 | 10.0 | 5000 | 0.0693 |
59
+ | 0.1157 | 11.0 | 5500 | 0.0705 |
60
+ | 0.1149 | 12.0 | 6000 | 0.0710 |
61
+ | 0.1143 | 13.0 | 6500 | 0.0706 |
62
+ | 0.1143 | 14.0 | 7000 | 0.0707 |
63
+ | 0.1138 | 15.0 | 7500 | 0.0708 |
64
 
65
 
66
  ### Framework versions