Evelyn18 commited on
Commit
f984c2c
1 Parent(s): 3fc2984

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -12
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [IIC/roberta-base-spanish-squades](https://huggingface.co/IIC/roberta-base-spanish-squades) on the becasv2 dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 2.7840
19
 
20
  ## Model description
21
 
@@ -35,25 +35,23 @@ More information needed
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 3e-05
38
- - train_batch_size: 16
39
- - eval_batch_size: 16
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
- - num_epochs: 8
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
- | No log | 1.0 | 5 | 1.9356 |
50
- | No log | 2.0 | 10 | 1.7489 |
51
- | No log | 3.0 | 15 | 2.0573 |
52
- | No log | 4.0 | 20 | 2.3975 |
53
- | No log | 5.0 | 25 | 2.6796 |
54
- | No log | 6.0 | 30 | 2.7238 |
55
- | No log | 7.0 | 35 | 2.7616 |
56
- | No log | 8.0 | 40 | 2.7840 |
57
 
58
 
59
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [IIC/roberta-base-spanish-squades](https://huggingface.co/IIC/roberta-base-spanish-squades) on the becasv2 dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 2.4358
19
 
20
  ## Model description
21
 
 
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 3e-05
38
+ - train_batch_size: 11
39
+ - eval_batch_size: 11
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
+ - num_epochs: 6
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 6 | 1.8825 |
50
+ | No log | 2.0 | 12 | 1.7787 |
51
+ | No log | 3.0 | 18 | 2.0521 |
52
+ | No log | 4.0 | 24 | 2.2991 |
53
+ | No log | 5.0 | 30 | 2.4029 |
54
+ | No log | 6.0 | 36 | 2.4358 |
 
 
55
 
56
 
57
  ### Framework versions