joelniklaus commited on
Commit
5b10a21
1 Parent(s): a61ad2c

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +80 -0
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: legal-french-roberta-base
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # legal-french-roberta-base
13
+
14
+ This model was trained from scratch on an unknown dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Loss: 0.4293
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 0.0001
36
+ - train_batch_size: 16
37
+ - eval_batch_size: 16
38
+ - seed: 42
39
+ - distributed_type: tpu
40
+ - num_devices: 8
41
+ - gradient_accumulation_steps: 4
42
+ - total_train_batch_size: 512
43
+ - total_eval_batch_size: 128
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.05
47
+ - training_steps: 1000000
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss |
52
+ |:-------------:|:-----:|:-------:|:---------------:|
53
+ | 0.8649 | 0.05 | 50000 | 0.7819 |
54
+ | 0.7852 | 0.1 | 100000 | 0.6027 |
55
+ | 0.5898 | 1.02 | 150000 | 0.5842 |
56
+ | 0.6136 | 1.07 | 200000 | 0.5343 |
57
+ | 0.6135 | 1.12 | 250000 | 0.5461 |
58
+ | 0.5804 | 2.03 | 300000 | 0.5295 |
59
+ | 0.5602 | 2.08 | 350000 | 0.5120 |
60
+ | 0.5446 | 2.13 | 400000 | 0.4904 |
61
+ | 0.5414 | 3.05 | 450000 | 0.4853 |
62
+ | 0.5765 | 3.1 | 500000 | 0.4788 |
63
+ | 0.6903 | 4.01 | 550000 | 0.4597 |
64
+ | 0.6149 | 4.06 | 600000 | 0.4556 |
65
+ | 0.5649 | 4.11 | 650000 | 0.4543 |
66
+ | 0.6449 | 5.03 | 700000 | 0.4489 |
67
+ | 0.6425 | 5.08 | 750000 | 0.4386 |
68
+ | 0.6263 | 5.13 | 800000 | 0.4344 |
69
+ | 0.6035 | 6.05 | 850000 | 0.4317 |
70
+ | 0.607 | 6.1 | 900000 | 0.4332 |
71
+ | 0.5899 | 7.01 | 950000 | 0.4321 |
72
+ | 0.5751 | 7.06 | 1000000 | 0.4293 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.20.1
78
+ - Pytorch 1.12.0+cu102
79
+ - Datasets 2.8.0
80
+ - Tokenizers 0.12.1