yuridrcosta
commited on
Commit
•
74f820c
1
Parent(s):
fce62a0
End of training
Browse files
README.md
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: google-bert/bert-base-multilingual-uncased
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: bert-base-multilingual-uncased-finetuned-classification
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# bert-base-multilingual-uncased-finetuned-classification
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.1394
|
21 |
+
- Accuracy: 0.9524
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 2e-05
|
41 |
+
- train_batch_size: 16
|
42 |
+
- eval_batch_size: 16
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- num_epochs: 15
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
52 |
+
| No log | 1.0 | 20 | 0.1029 | 0.9810 |
|
53 |
+
| No log | 2.0 | 40 | 0.1137 | 0.9524 |
|
54 |
+
| No log | 3.0 | 60 | 0.1153 | 0.9524 |
|
55 |
+
| No log | 4.0 | 80 | 0.1170 | 0.9524 |
|
56 |
+
| No log | 5.0 | 100 | 0.1208 | 0.9524 |
|
57 |
+
| No log | 6.0 | 120 | 0.1064 | 0.9810 |
|
58 |
+
| No log | 7.0 | 140 | 0.1344 | 0.9524 |
|
59 |
+
| No log | 8.0 | 160 | 0.1237 | 0.9524 |
|
60 |
+
| No log | 9.0 | 180 | 0.1146 | 0.9524 |
|
61 |
+
| No log | 10.0 | 200 | 0.1330 | 0.9524 |
|
62 |
+
| No log | 11.0 | 220 | 0.1285 | 0.9524 |
|
63 |
+
| No log | 12.0 | 240 | 0.1291 | 0.9524 |
|
64 |
+
| No log | 13.0 | 260 | 0.1335 | 0.9524 |
|
65 |
+
| No log | 14.0 | 280 | 0.1380 | 0.9524 |
|
66 |
+
| No log | 15.0 | 300 | 0.1394 | 0.9524 |
|
67 |
+
|
68 |
+
|
69 |
+
### Framework versions
|
70 |
+
|
71 |
+
- Transformers 4.38.2
|
72 |
+
- Pytorch 2.1.0+cu121
|
73 |
+
- Datasets 2.18.0
|
74 |
+
- Tokenizers 0.15.2
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 669455360
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7576239131084794b5d304288b60225da1273768d869ed81b1f4dd2add69170c
|
3 |
size 669455360
|
runs/Mar13_01-11-59_4f163a602b3e/events.out.tfevents.1710292320.4f163a602b3e.581.2
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b799b44c200787082d493282023a7aae776d1abeff8cc365767977d583ec6356
|
3 |
+
size 10308
|