Oleksandr2003 commited on
Commit
bc9aa5b
·
1 Parent(s): dba10ad

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -11
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  model-index:
@@ -11,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
11
 
12
  # seq_gender_changer
13
 
14
- This model is a fine-tuned version of [kravchenko/uk-mt5-small](https://huggingface.co/kravchenko/uk-mt5-small) on the None dataset.
15
  It achieves the following results on the evaluation set:
16
- - Loss: 0.1393
17
 
18
  ## Model description
19
 
@@ -33,23 +34,20 @@ More information needed
33
 
34
  The following hyperparameters were used during training:
35
  - learning_rate: 2e-05
36
- - train_batch_size: 5
37
- - eval_batch_size: 5
38
  - seed: 42
39
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
  - lr_scheduler_type: linear
41
- - num_epochs: 6
42
 
43
  ### Training results
44
 
45
  | Training Loss | Epoch | Step | Validation Loss |
46
  |:-------------:|:-----:|:----:|:---------------:|
47
- | 13.0967 | 1.0 | 1066 | 4.2630 |
48
- | 1.2776 | 2.0 | 2132 | 0.2823 |
49
- | 0.4383 | 3.0 | 3198 | 0.2164 |
50
- | 0.3195 | 4.0 | 4264 | 0.1831 |
51
- | 0.2614 | 5.0 | 5330 | 0.1596 |
52
- | 0.233 | 6.0 | 6396 | 0.1498 |
53
 
54
 
55
  ### Framework versions
 
1
  ---
2
+ license: mit
3
  tags:
4
  - generated_from_trainer
5
  model-index:
 
12
 
13
  # seq_gender_changer
14
 
15
+ This model is a fine-tuned version of [ukr-models/uk-summarizer](https://huggingface.co/ukr-models/uk-summarizer) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.0003
18
 
19
  ## Model description
20
 
 
34
 
35
  The following hyperparameters were used during training:
36
  - learning_rate: 2e-05
37
+ - train_batch_size: 4
38
+ - eval_batch_size: 4
39
  - seed: 42
40
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
  - lr_scheduler_type: linear
42
+ - num_epochs: 3
43
 
44
  ### Training results
45
 
46
  | Training Loss | Epoch | Step | Validation Loss |
47
  |:-------------:|:-----:|:----:|:---------------:|
48
+ | 0.0834 | 1.0 | 1332 | 0.0008 |
49
+ | 0.0018 | 2.0 | 2664 | 0.0003 |
50
+ | 0.0012 | 3.0 | 3996 | 0.0002 |
 
 
 
51
 
52
 
53
  ### Framework versions