w11wo commited on
Commit
8a412ef
1 Parent(s): adac6e1

End of training

Browse files
README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: indobenchmark/indobert-lite-base-p1
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - f1
9
+ - precision
10
+ - recall
11
+ model-index:
12
+ - name: indobert-lite-base-p1-indonli-distil
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # indobert-lite-base-p1-indonli-distil
20
+
21
+ This model is a fine-tuned version of [indobenchmark/indobert-lite-base-p1](https://huggingface.co/indobenchmark/indobert-lite-base-p1) on an unknown dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.5443
24
+ - Accuracy: 0.6123
25
+ - F1: 0.6060
26
+ - Precision: 0.6275
27
+ - Recall: 0.6184
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 2e-05
47
+ - train_batch_size: 16
48
+ - eval_batch_size: 16
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - num_epochs: 5
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
57
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
58
+ | 0.5053 | 1.0 | 646 | 0.4511 | 0.7506 | 0.7462 | 0.7530 | 0.7445 |
59
+ | 0.4516 | 2.0 | 1292 | 0.4458 | 0.7692 | 0.7683 | 0.7684 | 0.7697 |
60
+ | 0.4192 | 3.0 | 1938 | 0.4433 | 0.7701 | 0.7677 | 0.7685 | 0.7673 |
61
+ | 0.3647 | 4.0 | 2584 | 0.4497 | 0.7720 | 0.7699 | 0.7697 | 0.7701 |
62
+ | 0.3502 | 5.0 | 3230 | 0.4530 | 0.7679 | 0.7661 | 0.7658 | 0.7668 |
63
+
64
+
65
+ ### Framework versions
66
+
67
+ - Transformers 4.36.2
68
+ - Pytorch 2.1.2+cu121
69
+ - Datasets 2.16.1
70
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:daf53daade395991805c47b2d662fca5b197bc357815607b45f22a1a0d9c094d
3
  size 46746988
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a375e9e480a368d818d9e41658ca25c71489f333c5d128702d46a154911ca58
3
  size 46746988
runs/Jan30_12-48-12_bookbot-h100/events.out.tfevents.1706619098.bookbot-h100.462133.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8105e3231e68707913f75de0902ff225af605f2ab032c3c0efef5ef1791588f
3
+ size 1504