Tanor commited on
Commit
d99b2e5
1 Parent(s): 2dcde86

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +68 -0
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: jerteh/gpt2-orao
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - f1
7
+ model-index:
8
+ - name: SRGPTSENTPOS4
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # SRGPTSENTPOS4
16
+
17
+ This model is a fine-tuned version of [jerteh/gpt2-orao](https://huggingface.co/jerteh/gpt2-orao) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.1738
20
+ - F1: 0.2769
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 1
41
+ - eval_batch_size: 1
42
+ - seed: 42
43
+ - gradient_accumulation_steps: 4
44
+ - total_train_batch_size: 4
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - num_epochs: 32
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
53
+ | 0.114 | 1.0 | 2703 | 0.0967 | 0.0 |
54
+ | 0.0938 | 2.0 | 5406 | 0.1364 | 0.0 |
55
+ | 0.1035 | 3.0 | 8109 | 0.1487 | 0.1111 |
56
+ | 0.0906 | 4.0 | 10812 | 0.1429 | 0.2558 |
57
+ | 0.0575 | 5.0 | 13515 | 0.2198 | 0.2388 |
58
+ | 0.0369 | 6.0 | 16218 | 0.1617 | 0.2817 |
59
+ | 0.034 | 7.0 | 18921 | 0.1834 | 0.1935 |
60
+ | 0.0126 | 8.0 | 21624 | 0.1738 | 0.2769 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.31.0
66
+ - Pytorch 2.2.0.dev20230928
67
+ - Datasets 2.14.2
68
+ - Tokenizers 0.13.3