AVSilva commited on
Commit
d15367a
1 Parent(s): 36258aa

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +58 -0
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: result
7
+ results: []
8
+ ---
9
+
10
+ # result
11
+
12
+ This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset.
13
+ It achieves the following results on the evaluation set:
14
+ - Loss: 0.8031
15
+
16
+ ## Model description
17
+
18
+ More information needed
19
+
20
+ ## Intended uses & limitations
21
+
22
+ More information needed
23
+
24
+ ## Training and evaluation data
25
+
26
+ More information needed
27
+
28
+ ## Training procedure
29
+
30
+ ### Training hyperparameters
31
+
32
+ The following hyperparameters were used during training:
33
+ - learning_rate: 5e-05
34
+ - train_batch_size: 2
35
+ - eval_batch_size: 8
36
+ - seed: 42
37
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
38
+ - lr_scheduler_type: linear
39
+ - num_epochs: 3.0
40
+
41
+ ### Training results
42
+
43
+ ### Eval metrics
44
+
45
+ epoch = 3.0
46
+ eval_loss = 0.8031
47
+ eval_runtime = 0:02:17.77
48
+ eval_samples = 134
49
+ eval_samples_per_second = 0.973
50
+ eval_steps_per_second = 0.123
51
+ perplexity = 2.2325
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.13.0.dev0
56
+ - Pytorch 1.10.0+cu102
57
+ - Datasets 1.16.1
58
+ - Tokenizers 0.10.3