NasimB commited on
Commit
6d984e4
1 Parent(s): b30feba

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +79 -0
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - generator
7
+ model-index:
8
+ - name: aochildes-cbt-log-rarity
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
+ # aochildes-cbt-log-rarity
16
+
17
+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 4.1483
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 0.0005
39
+ - train_batch_size: 64
40
+ - eval_batch_size: 64
41
+ - seed: 42
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: cosine
44
+ - lr_scheduler_warmup_steps: 1000
45
+ - num_epochs: 6
46
+ - mixed_precision_training: Native AMP
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:-----:|:---------------:|
52
+ | 6.3649 | 0.29 | 500 | 5.3433 |
53
+ | 5.0506 | 0.59 | 1000 | 4.9337 |
54
+ | 4.7079 | 0.88 | 1500 | 4.6957 |
55
+ | 4.4512 | 1.17 | 2000 | 4.5593 |
56
+ | 4.3031 | 1.47 | 2500 | 4.4458 |
57
+ | 4.2085 | 1.76 | 3000 | 4.3418 |
58
+ | 4.0809 | 2.05 | 3500 | 4.2739 |
59
+ | 3.9047 | 2.35 | 4000 | 4.2277 |
60
+ | 3.8846 | 2.64 | 4500 | 4.1774 |
61
+ | 3.8392 | 2.93 | 5000 | 4.1313 |
62
+ | 3.6392 | 3.23 | 5500 | 4.1305 |
63
+ | 3.6016 | 3.52 | 6000 | 4.1020 |
64
+ | 3.5828 | 3.81 | 6500 | 4.0709 |
65
+ | 3.4733 | 4.11 | 7000 | 4.0797 |
66
+ | 3.3271 | 4.4 | 7500 | 4.0758 |
67
+ | 3.3228 | 4.69 | 8000 | 4.0635 |
68
+ | 3.3147 | 4.99 | 8500 | 4.0528 |
69
+ | 3.154 | 5.28 | 9000 | 4.0692 |
70
+ | 3.1461 | 5.58 | 9500 | 4.0692 |
71
+ | 3.1416 | 5.87 | 10000 | 4.0684 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - Transformers 4.26.1
77
+ - Pytorch 1.11.0+cu113
78
+ - Datasets 2.13.0
79
+ - Tokenizers 0.13.3