ManuelPerdigo commited on
Commit
2058a9a
1 Parent(s): 531f0d6

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +64 -0
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilroberta-base
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - swag
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: distilroberta_optionsChoose
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # distilroberta_optionsChoose
19
+
20
+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the swag dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.7727
23
+ - Accuracy: 0.7381
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 5e-05
43
+ - train_batch_size: 16
44
+ - eval_batch_size: 16
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 3
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
54
+ | 0.9344 | 1.0 | 4597 | 0.7569 | 0.6907 |
55
+ | 0.6714 | 2.0 | 9194 | 0.7102 | 0.7233 |
56
+ | 0.4522 | 3.0 | 13791 | 0.7727 | 0.7381 |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.32.0.dev0
62
+ - Pytorch 2.0.1+cu118
63
+ - Datasets 2.13.1
64
+ - Tokenizers 0.13.3