End of training
Browse files- README.md +71 -0
- 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: robbert0210_lrate2.5b8
|
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 |
+
# robbert0210_lrate2.5b8
|
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: 0.3532
|
22 |
+
- Precisions: 0.7361
|
23 |
+
- Recall: 0.7268
|
24 |
+
- F-measure: 0.7205
|
25 |
+
- Accuracy: 0.8949
|
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: 8
|
46 |
+
- eval_batch_size: 8
|
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 |
+
| No log | 1.0 | 471 | 0.4408 | 0.8339 | 0.6741 | 0.6811 | 0.8655 |
|
57 |
+
| 0.6468 | 2.0 | 942 | 0.3532 | 0.7361 | 0.7268 | 0.7205 | 0.8949 |
|
58 |
+
| 0.3388 | 3.0 | 1413 | 0.3800 | 0.7827 | 0.7382 | 0.7417 | 0.8980 |
|
59 |
+
| 0.2164 | 4.0 | 1884 | 0.4203 | 0.8306 | 0.7490 | 0.7675 | 0.9045 |
|
60 |
+
| 0.149 | 5.0 | 2355 | 0.4617 | 0.7798 | 0.7546 | 0.7646 | 0.9010 |
|
61 |
+
| 0.1022 | 6.0 | 2826 | 0.5331 | 0.8184 | 0.7557 | 0.7773 | 0.9051 |
|
62 |
+
| 0.0704 | 7.0 | 3297 | 0.5074 | 0.8187 | 0.7759 | 0.7927 | 0.9123 |
|
63 |
+
| 0.0524 | 8.0 | 3768 | 0.5290 | 0.8141 | 0.7704 | 0.7877 | 0.9092 |
|
64 |
+
|
65 |
+
|
66 |
+
### Framework versions
|
67 |
+
|
68 |
+
- Transformers 4.33.3
|
69 |
+
- Pytorch 2.0.1+cu118
|
70 |
+
- Datasets 2.14.5
|
71 |
+
- Tokenizers 0.13.3
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 464775913
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1e0d9d89d5d24335142b1aac10b7a79e3f3b2c5e9155d019f8fd3dccbb4ff030
|
3 |
size 464775913
|