Tommert25 commited on
Commit
0390494
1 Parent(s): e532da9

End of training

Browse files
Files changed (2) hide show
  1. README.md +71 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: pdelobelle/robbert-v2-dutch-base
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - recall
8
+ - accuracy
9
+ model-index:
10
+ - name: robbert0410_lrate2.5b32
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # robbert0410_lrate2.5b32
18
+
19
+ This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.3700
22
+ - Precisions: 0.7911
23
+ - Recall: 0.7515
24
+ - F-measure: 0.7562
25
+ - Accuracy: 0.8997
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2.5e-05
45
+ - train_batch_size: 32
46
+ - eval_batch_size: 32
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 8
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
55
+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
56
+ | 0.8604 | 1.0 | 118 | 0.4897 | 0.8413 | 0.6506 | 0.6616 | 0.8535 |
57
+ | 0.4417 | 2.0 | 236 | 0.4031 | 0.8327 | 0.6978 | 0.6910 | 0.8714 |
58
+ | 0.3227 | 3.0 | 354 | 0.3781 | 0.8393 | 0.7154 | 0.7031 | 0.8841 |
59
+ | 0.2638 | 4.0 | 472 | 0.3463 | 0.7238 | 0.7280 | 0.7254 | 0.8962 |
60
+ | 0.2102 | 5.0 | 590 | 0.3579 | 0.7670 | 0.7343 | 0.7344 | 0.8955 |
61
+ | 0.1795 | 6.0 | 708 | 0.3640 | 0.7839 | 0.7433 | 0.7408 | 0.8966 |
62
+ | 0.1547 | 7.0 | 826 | 0.3659 | 0.7815 | 0.7454 | 0.7493 | 0.8995 |
63
+ | 0.1401 | 8.0 | 944 | 0.3700 | 0.7911 | 0.7515 | 0.7562 | 0.8997 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.34.0
69
+ - Pytorch 2.0.1+cu118
70
+ - Datasets 2.14.5
71
+ - Tokenizers 0.14.0
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fc2f390feea2e7cb29d27b211268f0ccb417e5f794eacd2453b6b9dbce216fb8
3
  size 464775913
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59401e64445db2ebdc466d15a5c1f0ccd87b3b1f7a305917f7956f0b5a5910b3
3
  size 464775913